Aecom (ACM) Operating Income (2009 - 2026)
Aecom's Operating Income was -$75.98 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), compared with $294.08 million a year earlier.
Aecom (ACM) Operating Income (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Aecom's Operating Income was $631.2 million through Jun 30, 2026, down 38.5% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $1.03 billion, up 24.1% from FY2024.
- Operating Income shows a five-year compound annual growth rate of 21.9% (FY2020 to FY2025).
- In earlier fiscal years, Operating Income was $827.44 million in FY2024 (+155.3%), $324.13 million in FY2023 (-49.9%), $646.8 million in FY2022 (+2.7%) and $629.55 million in FY2021 (+65.0%).
- The fiscal Q3 2026 figure marks the lowest quarterly Operating Income since fiscal Q3 2023.
- Compared with a year earlier, Operating Income was higher in five of the last seven quarters, with growth averaging 41.1%.
- The best year-over-year quarter for Operating Income over five years was fiscal Q4 2024 (growth of 194.1%); the worst was fiscal Q4 2023 (a decline of 56.3%).
- Per Business Quant data, ACM's Operating Income in the three fiscal quarters before Q3 2026 was $247.76 million (Q2 2026), $222.05 million (Q1 2026) and $237.38 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 96.85 Bn | 95.03 Bn | 1.55 Bn | 694.83 Mn |
| 2 | Ferrovial | 40.19 Bn | 20.78 Bn | - | - |
| 3 | Emcor | 33.87 Bn | 30.26 Bn | 1.02 Bn | 547.34 Mn |
| 4 | Mastec | 16.39 Bn | 15.29 Bn | 556.28 Mn | 226.20 Mn |
| 5 | Jacobs Solutions | 16.20 Bn | 10.85 Bn | 810.70 Mn | 286.70 Mn |
| 6 | Sterling Infrastructure | 15.30 Bn | 13.66 Bn | 289.96 Mn | 219.26 Mn |
| 7 | IES Holdings | 12.83 Bn | 11.70 Bn | 340.66 Mn | 178.55 Mn |
| 8 | Dycom Industries | 7.99 Bn | 7.13 Bn | - | - |
| 9 | Stantec | 7.84 Bn | 7.84 Bn | - | - |
| 10 | Aecom | 7.65 Bn | 2.97 Bn | -34.04 Mn | -75.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -75.98 Mn |
| Mar 31, 2026 | 247.76 Mn |
| Dec 31, 2025 | 222.05 Mn |
| Sep 30, 2025 | 237.38 Mn |
| Jun 30, 2025 | 294.08 Mn |
| Mar 31, 2025 | 257.57 Mn |
| Dec 31, 2024 | 237.50 Mn |
| Sep 30, 2024 | 236.38 Mn |
| Jun 30, 2024 | 227.46 Mn |
| Mar 31, 2024 | 200.48 Mn |
| Dec 31, 2023 | 163.13 Mn |
| Sep 30, 2023 | 80.38 Mn |
| Jun 30, 2023 | -105.42 Mn |
| Mar 31, 2023 | 197.43 Mn |
| Dec 31, 2022 | 151.75 Mn |
| Sep 30, 2022 | 184.00 Mn |
| Jun 30, 2022 | 183.01 Mn |
| Mar 31, 2022 | 111.48 Mn |
| Dec 31, 2021 | 168.28 Mn |
| Sep 30, 2021 | 170.30 Mn |
Aecom Operating Income 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=operating-income&ticker=ACM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=ACM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();