Aecom (ACM) EBITDA (2009 - 2026)
Aecom's EBITDA was -$20.06 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), compared with $338.63 million a year earlier.
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Analysis
Aecom (ACM) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Aecom's EBITDA was $712.57 million through Jun 30, 2026, down 40.6% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $1.07 billion, up 6.2% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 11.5% (FY2020 to FY2025).
- In earlier fiscal years, EBITDA was $1.01 billion in FY2024 (+101.3%), $499.86 million in FY2023 (-38.9%), $817.69 million in FY2022 (+1.5%) and $805.95 million in FY2021 (+30.2%).
- The fiscal Q3 2026 figure marks the lowest quarterly EBITDA since fiscal Q3 2023.
- Compared with a year earlier, EBITDA was higher in five of the last seven quarters, with growth averaging 23.0%.
- The best year-over-year quarter for EBITDA over five years was fiscal Q4 2024 (growth of 124.9%); the worst was fiscal Q4 2025 (a decline of 46.2%).
- Per Business Quant data, ACM's EBITDA in the three fiscal quarters before Q3 2026 was $307.24 million (Q2 2026), $274.08 million (Q1 2026) and $151.3 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 96.85 Bn | 95.03 Bn | 1.55 Bn | 968.93 Mn |
| 2 | Ferrovial | 40.19 Bn | 20.78 Bn | - | - |
| 3 | Emcor | 33.87 Bn | 30.26 Bn | 1.02 Bn | 601.60 Mn |
| 4 | Mastec | 16.39 Bn | 15.29 Bn | 556.28 Mn | 349.82 Mn |
| 5 | Jacobs Solutions | 16.20 Bn | 10.85 Bn | 810.70 Mn | 343.89 Mn |
| 6 | Sterling Infrastructure | 15.30 Bn | 13.66 Bn | 289.96 Mn | 244.24 Mn |
| 7 | IES Holdings | 12.83 Bn | 11.70 Bn | 340.66 Mn | 195.50 Mn |
| 8 | Dycom Industries | 7.99 Bn | 7.13 Bn | - | - |
| 9 | Stantec | 7.84 Bn | 7.84 Bn | - | 355.32 Mn |
| 10 | Aecom | 7.65 Bn | 2.97 Bn | -34.04 Mn | -20.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -20.06 Mn |
| Mar 31, 2026 | 307.24 Mn |
| Dec 31, 2025 | 274.08 Mn |
| Sep 30, 2025 | 151.30 Mn |
| Jun 30, 2025 | 338.63 Mn |
| Mar 31, 2025 | 299.10 Mn |
| Dec 31, 2024 | 279.80 Mn |
| Sep 30, 2024 | 281.32 Mn |
| Jun 30, 2024 | 273.82 Mn |
| Mar 31, 2024 | 244.67 Mn |
| Dec 31, 2023 | 206.45 Mn |
| Sep 30, 2023 | 125.06 Mn |
| Jun 30, 2023 | -62.16 Mn |
| Mar 31, 2023 | 241.62 Mn |
| Dec 31, 2022 | 195.34 Mn |
| Sep 30, 2022 | 228.28 Mn |
| Jun 30, 2022 | 224.44 Mn |
| Mar 31, 2022 | 155.28 Mn |
| Dec 31, 2021 | 209.66 Mn |
| Sep 30, 2021 | 217.41 Mn |
API Access
Aecom EBITDA 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=ebitda&ticker=ACM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ACM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();