Aecom (ACM) Change in Accured Expenses (2009 - 2026)
Aecom (ACM) recorded Change in Accured Expenses of $34.76 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 81.1% from $183.62 million a year earlier.
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Analysis
Aecom (ACM) Change in Accured Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Aecom's Change in Accured Expenses came in at -$91.76 million as of Jun 30, 2026; for FY2025 (ended Sep 30, 2025), it came in at $145.2 million, up 57.9% from FY2024.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- Across earlier fiscal years, Change in Accured Expenses came in at $91.98 million in FY2024 (-5.4%), $97.24 million in FY2023 (+102.5%), $48.02 million in FY2022 and -$84.07 million in FY2021.
- Quarterly Change in Accured Expenses has ranged from -$142.97 million in fiscal Q4 2021 to $183.62 million in fiscal Q3 2025 over the past five years.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 256.5% in fiscal Q1 2024, against a decline of 99.5% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -$11.03 million (Q2 2026), -$93.13 million (Q1 2026) and -$22.36 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 762.98 Mn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | - |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 143.25 Mn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | - |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | -74.92 Mn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | 72.13 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 | 34.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.76 Mn |
| Mar 31, 2026 | -11.03 Mn |
| Dec 31, 2025 | -93.13 Mn |
| Sep 30, 2025 | -22.36 Mn |
| Jun 30, 2025 | 183.62 Mn |
| Mar 31, 2025 | -16.69 Mn |
| Dec 31, 2024 | 631,000.00 |
| Sep 30, 2024 | -72.94 Mn |
| Jun 30, 2024 | 80.76 Mn |
| Mar 31, 2024 | -37.39 Mn |
| Dec 31, 2023 | 121.55 Mn |
| Sep 30, 2023 | 65.13 Mn |
| Jun 30, 2023 | 43.79 Mn |
| Mar 31, 2023 | -45.78 Mn |
| Dec 31, 2022 | 34.09 Mn |
| Sep 30, 2022 | -75.32 Mn |
| Jun 30, 2022 | 48.61 Mn |
| Mar 31, 2022 | -14.53 Mn |
| Dec 31, 2021 | 89.26 Mn |
| Sep 30, 2021 | -142.97 Mn |
API Access
Aecom Change in Accured Expenses 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=change-in-accured-expenses&ticker=ACM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=ACM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();