Aecom (ACM) Consolidated Net Income (2009 - 2026)
Aecom's Consolidated Net Income came in at -$82.89 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), compared with $159.74 million a year earlier.
Aecom (ACM) Consolidated Net Income (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Aecom reported Consolidated Net Income of $338.62 million, down 50.3% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $636.19 million, up 38.2% from FY2024.
- Going back by fiscal year, Consolidated Net Income was $460.26 million in FY2024 (+359.6%), $100.14 million in FY2023 (-70.1%), $334.7 million in FY2022 (+64.9%) and $202.98 million in FY2021.
- The fiscal Q3 2026 figure represents the lowest quarterly Consolidated Net Income since fiscal Q3 2023.
- Year-over-year, Consolidated Net Income increased in five of the last seven quarters, with growth averaging 181.0%.
- The fastest year-over-year change in Consolidated Net Income over five years came in fiscal Q2 2025 (growth of 895.3%), and the weakest in fiscal Q2 2024 (a decline of 81.0%).
- Business Quant data shows ACM's Consolidated Net Income at $190.45 million (Q2 2026), $93.35 million (Q1 2026) and $137.71 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 87.86 Bn | 84.32 Bn | 2.01 Bn | 706.91 Mn |
| 2 | Ferrovial | 43.95 Bn | 24.55 Bn | - | - |
| 3 | Emcor | 28.40 Bn | 24.67 Bn | 1.11 Bn | 399.93 Mn |
| 4 | Jacobs Solutions | 18.40 Bn | 13.04 Bn | 810.70 Mn | 135.81 Mn |
| 5 | Mastec | 14.54 Bn | 13.22 Bn | 660.86 Mn | 167.72 Mn |
| 6 | Aecom | 9.09 Bn | 4.41 Bn | -34.04 Mn | -82.89 Mn |
| 7 | Sterling Infrastructure | 8.86 Bn | 7.32 Bn | 377.28 Mn | 229.68 Mn |
| 8 | Stantec | 8.64 Bn | 7.57 Bn | 1.36 Bn | 188.76 Mn |
| 9 | IES Holdings | 6.87 Bn | 5.74 Bn | 340.66 Mn | 153.55 Mn |
| 10 | Dycom Industries | 6.60 Bn | 4.90 Bn | 440.55 Mn | 115.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -82.89 Mn |
| Mar 31, 2026 | 190.45 Mn |
| Dec 31, 2025 | 93.35 Mn |
| Sep 30, 2025 | 137.71 Mn |
| Jun 30, 2025 | 159.74 Mn |
| Mar 31, 2025 | 159.54 Mn |
| Dec 31, 2024 | 179.20 Mn |
| Sep 30, 2024 | 183.12 Mn |
| Jun 30, 2024 | 152.51 Mn |
| Mar 31, 2024 | 16.03 Mn |
| Dec 31, 2023 | 108.59 Mn |
| Sep 30, 2023 | 40.19 Mn |
| Jun 30, 2023 | -121.30 Mn |
| Mar 31, 2023 | 84.48 Mn |
| Dec 31, 2022 | 96.76 Mn |
| Sep 30, 2022 | 113.00 Mn |
| Jun 30, 2022 | 111.91 Mn |
| Mar 31, 2022 | 48.51 Mn |
| Dec 31, 2021 | 61.28 Mn |
| Sep 30, 2021 | 106.30 Mn |
Aecom Consolidated Net 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=consolidated-net-income&ticker=ACM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-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=consolidated-net-income&ticker=ACM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();