Aecom (ACM) Cost of Revenue (2009 - 2026)
Aecom (ACM) recorded Cost of Revenue of $3.62 billion in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 6.0% from $3.85 billion a year earlier but up 3.3% from the prior quarter.
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Analysis
Aecom (ACM) Cost of Revenue (2009 - 2026) Analysis & Trends
On a TTM basis, Aecom's Cost of Revenue came in at $14.52 billion as of Jun 30, 2026, down 2.5% year-over-year; for FY2025 (ended Sep 30, 2025), it was $14.92 billion, down 0.7% from FY2024.
- Annual Cost of Revenue has a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- Across earlier fiscal years, Cost of Revenue came in at $15.02 billion in FY2024 (+11.8%), $13.43 billion in FY2023 (+9.2%), $12.3 billion in FY2022 (-1.9%) and $12.54 billion in FY2021 (+0.1%).
- Quarterly Cost of Revenue has ranged from $3 billion in fiscal Q2 2022 to $3.87 billion in fiscal Q3 2024 over the past five years.
- On a year-over-year basis, Cost of Revenue rose in four of the last eight quarters, with an average decline of 0.9%.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 15.4% in fiscal Q1 2024, against a decline of 7.2% in fiscal Q4 2021 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $3.5 billion (Q2 2026), $3.55 billion (Q1 2026) and $3.84 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 8.01 Bn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 4.13 Bn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 3.82 Bn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 878.22 Mn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | 3.27 Bn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | 902.04 Mn |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | - |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - | - |
| 10 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn | 3.62 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.62 Bn |
| Mar 31, 2026 | 3.50 Bn |
| Dec 31, 2025 | 3.55 Bn |
| Sep 30, 2025 | 3.84 Bn |
| Jun 30, 2025 | 3.85 Bn |
| Mar 31, 2025 | 3.48 Bn |
| Dec 31, 2024 | 3.75 Bn |
| Sep 30, 2024 | 3.82 Bn |
| Jun 30, 2024 | 3.87 Bn |
| Mar 31, 2024 | 3.68 Bn |
| Dec 31, 2023 | 3.66 Bn |
| Sep 30, 2023 | 3.59 Bn |
| Jun 30, 2023 | 3.41 Bn |
| Mar 31, 2023 | 3.26 Bn |
| Dec 31, 2022 | 3.17 Bn |
| Sep 30, 2022 | 3.21 Bn |
| Jun 30, 2022 | 3.02 Bn |
| Mar 31, 2022 | 3.00 Bn |
| Dec 31, 2021 | 3.07 Bn |
| Sep 30, 2021 | 3.14 Bn |
API Access
Aecom Cost of Revenue API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=ACM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "ACM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=ACM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();