Hexagon Logistics
FY2024 → FY2026 YTD CargoWise Export · March 2026
Performance Dashboard
Year-on-Year Analysis & FY2026 Forecast — Sydney, Australia
Total Revenue
$32.1M
Across FY24–FY26 YTD
Total Cost
$27.5M
All 3 fiscal years
Total Gross Profit
$4.6M
Gross margin avg ~14.9%
Total Jobs
4,276
FY24: 1,884 · FY25: 1,573 · FY26: 1,052 billed YTD
Revenue vs Cost vs Gross Profit — YoY
Full year comparisons (FY26 = YTD + forecast)
Revenue Cost Gross Profit
Jobs Volume — YoY
Number of shipment jobs per fiscal year
Gross Margin % — Year over Year
Gross Profit as a percentage of revenue
Monthly Revenue — FY24 vs FY25 vs FY26
July–June fiscal year overlay (FY26 dashed after Feb = forecast)
FY24 FY25 FY26
Monthly Gross Profit
All 3 fiscal years overlaid
Monthly Job Count
Shipments processed per month
Jobs Processed by Operator — FY26 YTD
Monthly job count per operator (Jul 2025–Feb 2026, excl. S00004185)
Operator JulAugSepOct NovDecJanFeb TotalShare
Christlaine Tejeros484840443948476137535.7%
Christine Rizzo443728554453345735233.5%
Meryl Tionko1688201110132110710.2%
CS Team (BC · HH · RM)2599152116112513112.5%
Directors (BG · DV)91082964812868.2%
Total142112931631211311131761051100%
Top 5 Clients — Revenue Share
Select year below to compare
Client Gross Profit Trend
Gross profit per key account · FY26 full year forecast = YTD × 12/8
Top 5 Clients — Detailed Breakdown
Revenue, cost, profit, margin and job count per year
RankClientRevenue (YTD)CostGross ProfitMarginJobsAvg Jobs/MoGross Profit / Job
1
Visscher Caravelle AustraliaVISCARSYD
$1,355,025-$1,218,256$133,5109.9%668.2$2,023
2
Next Level ElevatorsNEXLEVSYD
$1,153,480-$1,048,896$103,3049.0%435.4$2,402
3
Compact Lifts Pty LtdCOMLIFMEL
$996,341-$913,396$78,5187.9%293.6$2,708
4
White Mining EquipmentWHMINSYD
$667,121-$491,303$175,81826.4%546.8$3,256
5
ESDR ElectronicsESDELESY
$310,854-$262,047$48,71115.7%384.8$1,282
FY26 forecast: remaining months (Mar–Jun) use FY25 seasonals × YTD pace ratio (1.045×) · 103 jobs excluded
FY26 Forecast Revenue
$12.94M
vs FY25 $12.45M +3.9%
FY26 Forecast Cost
$11.17M
vs FY25 $10.70M +4.4%
FY26 Forecast Gross Profit
$1.769M
vs FY25 $1.690M +4.7%
FY26 Forecast Jobs
1,988
vs FY25 1,577 +26.1%
FY26 Month-by-Month — Actuals + Forecast
Solid bars = actual (Jul–Feb) · Lighter bars = linear forecast (Mar–Jun)
Revenue Cost Gross Profit
3-Year Revenue Trajectory
Actual FY24 & FY25 · FY26 full-year forecast
Gross Profit Margin Forecast
Monthly margin % — actual vs projected
REV transactions = clients · CST transactions = suppliers · OZSALEMEL rebranded to ACCOZSMEL in FY26 · FY26 = YTD (Jul 2025 – Feb 2026)
Client Margin % — FY25 vs FY26 YTD
Top clients — margin movement year on year
Top 10 Suppliers — Cost Share FY26 YTD
% of total cost base · supplier concentration risk
Supplier Cost Trend — FY24 vs FY25 vs FY26 YTD
Top 6 suppliers by operational cost · GST & DUT excluded across all years
FY24 FY25 FY26 YTD
Client Margin Detail — FY25 vs FY26 YTD
Revenue, cost & margin per client with YoY movement flag
ClientFY25 RevenueFY25 MarginFY26 Revenue (YTD)FY26 MarginMargin ΔFY26 JobsAction
Supplier Cost Detail — Top 10 by FY26 YTD Spend
Cost trend and concentration per supplier · GST & DUT excluded across all years
SupplierFY24 CostFY25 CostFY26 Cost (YTD)FY25→FY26 Δ% of FY26 Cost Base
FY26 YTD Pace vs FY25 — Same 8 Months (Jul–Feb)
FY26 YTD compared to the identical Jul–Feb window in FY25 · 3 months remaining (Mar–May) · ★ = already exceeded FY25 full year profit
FY26 YTD Revenue
$9.23M
vs FY25 same 8mo $8.81M +4.8%
FY26 YTD Gross Profit
$1.238M
vs FY25 same 8mo $1.180M +5.0%
FY26 Annualised Revenue
$13.84M
vs FY25 full year $12.45M +11.2%
FY26 Annualised Gross Profit
$1.858M
vs FY25 full year $1.690M +9.9%
Client FY25 Jul–Feb RevFY25 Jul–Feb Gross ProfitFY25 Margin FY26 YTD RevFY26 YTD Gross ProfitFY26 Margin Gross Profit PaceFY25 Full Year Gross ProfitStatus
FY25 full year vs FY26 YTD (8 months, Jul 2025–Feb 2026) · S00004185 excluded · Charge codes with >$1k revenue or cost in either year shown
Top 10 Revenue Charge Codes — FY25 vs FY26
Gross revenue by charge code (excl. GST pass-through)
FY25 FY26 YTD
Top 10 Charge Code Margins — FY25 vs FY26
Margin % by charge code — where we earn vs where we pass through
Charge Code Detail — FY25 vs FY26 YTD
Revenue, cost and margin per charge code with movement flag · sorted by FY25 revenue desc
Charge Code FY25 RevenueFY25 CostFY25 Margin FY26 Revenue (YTD)FY26 CostFY26 Margin Margin ΔNote
FY26 YTD — Import Revenue
$8.17M
901 jobs · 12.0% margin
FY26 YTD — Import Gross Profit
$980k
vs FY25 $1.40M full year · on pace
FY26 YTD — Export Revenue
$905k
vs FY25 full year $719k +26% ↑
FY26 YTD — Export Gross Profit
$229k
25.3% margin · vs FY25 23.3%
Revenue by Direction — YoY
Full year FY24 & FY25 · FY26 YTD 8 months
Import Export Domestic
Gross Profit by Direction — YoY
Export margin consistently outperforms imports
Import Export
Jobs by Direction — YoY
Import volume dominant, export jobs growing
Margin % by Direction — YoY
Export margin premium over imports
Import Export
Monthly Export Revenue — FY24 vs FY25 vs FY26
FY26 exports tracking well ahead of prior years
FY24 FY25 FY26 YTD
Monthly Import Revenue — FY24 vs FY25 vs FY26
Imports remain the dominant revenue stream
FY24 FY25 FY26 YTD
Import vs Export — Full Summary Table
Job-level bucketing · FY26 is 8-month YTD · Domestic/Other excluded from table
YearDirectionJobs RevenueCostGross Profit MarginGross Profit / JobRev / JobRev Share

Management Discussion & Analysis

Hexagon Logistics  ·  FY2025 – FY2026 YTD  ·  Recognition-Date Basis  ·  Prepared March 2026
01  Executive Summary

Three years of consistent margin discipline on a sharply rising revenue base

$13.0M
FY26 Forecast Revenue
↑ +4.2% vs FY25
$1.77M
FY26 Forecast Gross Profit
↑ +4.8% vs FY25
13.6%
Gross Margin — all three years
→ Stable
$8,275
FY26F Revenue per Job
↑ +4.8% vs FY25's $7,897

Hexagon has delivered 4.2% revenue growth from FY25 ($12.45M) into FY26F ($13.0M), while holding gross margin at a remarkably stable 13.6% across both years. The business is growing more efficiently: revenue per job has lifted from $7,897 in FY25 to $8,275 in FY26F, and gross profit per job from $1,072 to $1,129 — gains achieved without adding headcount or compromising margin.

FY25 was the year Hexagon repriced its book: revenue jumped while job count fell 10.4%, a clear signal of shedding low-yield volume in favour of higher-value freight. FY26 is consolidating that repositioning. Costs are growing in lockstep with revenue (cost growth 4.1% vs revenue growth 4.2%), confirming that margin is being held through disciplined pricing rather than cost-cutting.

02  Revenue & Profitability Trend

Volume-adjusted growth: fewer jobs, substantially higher yield

The most important metric in this analysis is not revenue — it is gross profit per job. FY25 delivered $1,072 per job, and FY26F projects $1,129 per job — a 5.3% year-on-year improvement that compounds the gains made in the repricing cycle. At 1,567 forecast jobs, this single metric is responsible for the majority of the GP uplift.

Critically, total cost growth has tracked revenue growth to within 0.1 percentage points in each year, meaning there is no evidence of cost creep or margin erosion from inflationary pressures. This level of cost discipline is uncommon in freight forwarding, where carrier surcharges and fuel levies frequently distort the cost line.

The monthly margin range across FY26 YTD spans 10.7% (January) to 15.8% (February) — a 5.1pp spread. This variance is partially seasonal but also reflects the timing of large high-margin jobs being recognised. Smoothing this variance through pipeline management is an addressable opportunity.

Gross Profit per Job — FY25 vs FY26F
03  Business Mix

Export growth is the single most important strategic development

Export vs Import — Revenue Share & Margin

Export revenue has grown from 5.8% of total revenue in FY25 to 9.8% in FY26 YTD — nearly doubling its share in a single year. More importantly, export jobs consistently deliver 13–15 percentage points more gross margin than import jobs (FY26 YTD: Export 25.3% vs Import 12.0%).

If export revenue were to reach 15% of total revenue while import margin held steady, the blended gross margin would lift from 13.6% to approximately 14.8% — adding roughly $150,000–$180,000 in additional gross profit at the current revenue run-rate, with zero increase in job count.

The FY26 YTD export revenue per job of $8,149 has already converged with import at $9,066, eliminating the historical yield disadvantage. Export is now a high-margin, high-yield segment with significant capacity to absorb more volume.

04  Client Portfolio

A $2.3M client loss absorbed — and the portfolio is stronger for it

OzSale / Accent OzSale — confirmed closed: This client accounted for $2.31M in FY25 (18.6% of total revenue) and processed 302 jobs (19.2% of volume). Its closure represented the single largest commercial disruption Hexagon has faced in this period. The recovery has been exceptional — and it came from three distinct, complementary sources.

Existing clients grew strongly. Stripping OzSale from the FY25 base, the remaining portfolio generated +$2.83M of new revenue in FY26 — organic growth of +27.9% on the adjusted base. The standout contributors: Next Level Elevators (+57.5% YoY annualised), Compact Lifts (+102.3%), and White Mining Equipment (+159.6%). These three alone absorbed the bulk of the revenue gap, and at margins that in several cases exceed what OzSale delivered at 14.7%. White Mining in particular, tracking at $667K YTD with a 26.4% gross margin, is the highest-yielding relationship in the top 5 — nearly double the portfolio average.

Rob McDonald, BDM — hired March 2025: In his first year, Rob generated $512,536 total revenue and $63,302 gross profit across 98 jobs. Of that, 8 are entirely new client relationships — accounts with zero FY25 history — contributing $317K revenue and $46K GP at a 14.5% margin. His ramp has been consistent and accelerating: from $17K in July to $164K in February alone, his strongest month. Rob's contribution directly covers 13.7% of the OzSale revenue gap through new clients alone, with further upside as his existing book continues to grow.

Agency network new clients — sourced through GLA, JCtrans, DFA, and CLN — contributed a further $249K revenue and $47K gross profit at a 19.0% margin across 63 brand-new relationships in FY26 YTD. At 19.0%, agency-referred clients are the highest-margin source of new business across all three channels — and the most diversified, spanning trade lanes and commodity types that no single client relationship could replicate. Investment in these networks is not a discretionary cost — it is the pipeline that generated 63 new client relationships in a single year.

The net result: gross profit has not only replaced the $340K OzSale GP contribution but grown a further $81K on top. FY26F GP of $1.77M is genuine growth, not recovery arithmetic. Top-5 concentration has fallen from 54.3% in FY25 to 48.6% in FY26 YTD. The portfolio that emerges from this disruption is broader, better-margined, and less exposed to any single client than the one that entered it.

Visscher Caravelle remains the anchor client at an annualised FY26 pace of ~$2.03M. At ~15% of total revenue, this relationship warrants a formal retention programme and annual contractual review to ensure Hexagon's largest single dependency is actively managed.

Revenue Concentration — Top 5 vs Rest
05  Operational Capacity

Management identified the operator gap and is actively resolving it

Christlaine Tejeros (35.7%) and Christine Rizzo (33.5%) together process 69.2% of all FY26 YTD jobs — an average of 91 jobs per month combined. At current revenue per job, each operator is personally accountable for approximately $3.2M–$3.3M of annualised revenue. This concentration is a genuine continuity risk: any extended absence or departure would immediately impact client service levels and revenue recognition timing.

Importantly, management had already identified this gap before it became acute. Meryl Tionko was hired in November 2025 specifically to build out the team's processing capacity. Her ramp is visible in the data: from 11 jobs in her first month to 21 jobs in February — her highest month and a 91% increase since joining. The trajectory is encouraging. If she reaches a steady-state comparable to the CS Team's current contribution (~25 jobs/month), the top-two share of volume would fall from 69% toward ~60%, a meaningful de-risking of the operations structure.

The Directors group processing 8.2% of jobs (86 YTD) reflects hands-on senior involvement, appropriate for a business at this scale. As Meryl continues to ramp, there is a natural opportunity to reduce Director-level job processing and redirect that capacity to business development and client management.

FY26 YTD Jobs by Operator — Monthly Distribution
06  Recommendations

Six actions to convert performance into structural advantage

● High Priority
Accelerate export channel development
Export margin of 25.3% vs import 12.0% represents the largest untapped lever in the P&L. Assign a dedicated business development resource to export freight. A move from 9.8% to 15% export revenue share would add an estimated $150K–$180K gross profit annually at current revenue scale — without adding a single import job.
Est. GP impact: +$150K–$180K p.a. at 15% export mix
● High Priority
Support Meryl's ramp — reduce the top-two dependency
Management has already acted: Meryl Tionko was hired in November 2025 and is tracking well (11 → 21 jobs/month in her first four months). The priority now is to sustain her ramp through structured mentoring by CT and CR, ensuring she can operate independently across the full job lifecycle. A second new hire within FY27 would bring the top-two share below 55% and remove the continuity risk entirely.
Target: top-two share below 60% by end of FY26
● High Priority
Protect against OzSale-scale concentration
Hexagon successfully absorbed a $2.31M client closure and still grew revenue and GP — a remarkable result. The lesson is structural: no single client should again represent 18%+ of revenue without a formal account resilience plan. Implement a policy that any client exceeding 12% of revenue triggers a diversification review and a documented contingency plan, reviewed annually.
Prevents recurrence of single-client dependency risk
◐ Medium Priority
Formalise Visscher Caravelle retention programme
At ~$2M annualised and ~15% revenue concentration, Visscher warrants a structured account plan: annual business review, multi-year service agreement, and proactive margin review. Ensuring this relationship is governed at Director level with documented succession reduces single-client dependency risk materially.
Protects ~15% of total revenue base
◐ Medium Priority
Target White Mining-profile clients
White Mining Equipment (26.4% margin, $667K YTD, growing from $385K in FY25, +73% YTD) represents the ideal client archetype: project-based, technically complex, margin-accretive. Build an ICP (ideal client profile) from this relationship and direct BD effort toward mining, infrastructure, and capital equipment sectors where freight complexity supports premium pricing.
Margin uplift: 26.4% vs portfolio avg 13.6%
○ Ongoing
Monthly margin variance management
FY26 YTD monthly margin ranges from 10.7% to 15.8% — a 5.1pp spread. While some variance is inherent to freight forwarding, implementing a rolling pipeline review each month to ensure large high-margin jobs are evenly distributed across the recognition calendar would smooth cash conversion and reduce GP volatility.
Improves GP predictability & cash flow timing
07  Technology Outlook

The shift is real — and freight forwarding is directly in its path

The question is no longer whether AI will reshape freight forwarding. It already is. The more important question for Hexagon is: at what pace, in what sequence, and where does a business of our scale engage first? The research is unambiguous — a structural shift is underway, and the window for early-mover advantage is open right now.

What Is Happening in the Industry

Only 10% of logistics companies have fully embraced generative AI (BCG, December 2025), yet 51% of freight forwarders surveyed said they were likely or very likely to invest in AI in 2025 (Adelante SCM / Magaya, 110 forwarders, July 2025). The gap between intent and execution is wide — which is exactly where early movers win. The global AI-in-logistics market reached approximately $20.8 billion in 2025 and is forecast to reach $707 billion by 2034. That is not a niche technology story. That is an industry restructuring.

The early wave — predictive ETAs, route optimisation, freight rate forecasting — is already deployed at scale by the majors (DHL, Flexport, SEKO). The second wave, which is now breaking, is agentic AI: systems that do not merely advise but act. An AI agent can read an incoming booking email, extract the cargo details, validate them against the TMS, create the shipment record, send a booking confirmation, and flag any compliance issues — without a human touching it. Email handling time has been reduced from ~4.5 minutes to ~1.5 minutes per message in live deployments (virtualworkforce.ai, 2025). At Hexagon's current volume, that is material.

Where Agents Apply Directly to Hexagon's Operations

Freight forwarding is, at its core, a document and communication-intensive business. The daily workflow — booking confirmations, bills of lading, customs entries, invoice reconciliation, carrier chase emails, shipment status updates — is precisely the type of structured, rule-bound, repetitive task that AI agents handle best. Several platforms now offer purpose-built agents for freight forwarders at mid-market price points:

Document Processing
Customs & documentation agents
Tools like Freightmate AI and Reform automate the extraction of data from commercial invoices, packing lists, and bills of lading — populating TMS records and preparing customs entries with minimal human input. A team member reviews exceptions only. This addresses one of Hexagon's most labour-intensive daily tasks.
Est. time saving: 60–70% of document processing hours
Communication
Email & inbox agents
AI agents integrated with Outlook or Gmail can read, classify, and draft replies to routine freight correspondence — booking requests, status queries, rate inquiries, carrier updates. Platforms like Virtualworkforce.ai integrate with TMS and ERP to ground responses in live shipment data. This is directly relevant to operator workload at Hexagon.
Reduces per-email handling from ~4.5 to ~1.5 minutes
Finance
Invoice reconciliation agents
AI agents monitor incoming carrier invoices, validate line items against expected charges in the TMS, flag discrepancies, and initiate reconciliation workflows. Dow Chemical reduced logistics overpayments materially using an invoice agent built in Microsoft Copilot Studio processing 4,000 daily shipments — the principle scales down directly to Hexagon's volumes.
Reduces billing errors & potential overcharges
The Honest Assessment: Risks and Barriers

The industry survey data is candid about the challenges. Among 110 freight forwarders surveyed in July 2025, the top barriers to AI adoption were: lack of internal expertise (48%), risk of errors or compliance violations (41%), and difficulty integrating with existing workflows (35%). These are real barriers — not excuses. Freight forwarding operates under strict customs compliance regimes where an AI error is not merely inconvenient but potentially a legal and financial liability.

The practical implication is that human-in-the-loop governance is essential, especially in the near term. The most effective early deployments treat AI as a co-pilot: the agent handles routine execution, a human reviews exceptions. This approach delivers 60–80% of the efficiency gain with a fraction of the compliance risk of full automation. It also builds the organisational confidence and data quality needed to expand agent autonomy over time.

What This Means for Hexagon

Hexagon is, right now, better positioned than most small-to-mid forwarders to benefit from AI agents. The reason: this dashboard exists. Clean, recognition-date bucketed data across three years — by client, by direction, by operator, by month — is the foundation that AI tools require to be effective. Many competitors would need 12–18 months of data infrastructure work before agents could be deployed meaningfully. Hexagon can move faster.

The immediate opportunity is not to replace CT and CR — it is to take the routine processing load off their desks so they focus on complex, judgment-intensive jobs while agents handle bookings, document extraction, and status communications. At 1,051 jobs YTD across 8 months, even a 30% reduction in per-job administrative time would free the equivalent of roughly one full-time operator's capacity — capacity that could either handle incremental volume without a new hire, or be redirected to the export growth strategy outlined in Section 3.

The shift is happening. The freight forwarders who act in 2025–2026 will set the cost and service standard that defines the competitive landscape for the rest of the decade. The recommended first step is a targeted pilot: select one high-volume, well-documented workflow (booking confirmation emails or customs entry preparation) and deploy an agent in a human-in-the-loop configuration for 90 days. Measure time saved, error rate, and operator feedback. The data from that pilot will determine the pace and scope of what comes next.