Aecom (ACM) Accumulated Expenses (2009 - 2026)
Aecom (ACM) recorded Accumulated Expenses of $2.4 billion in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 3.9% from $2.5 billion a year earlier but up 0.4% from the prior quarter.
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Analysis
Aecom (ACM) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Aecom reported Accumulated Expenses of $2.49 billion, up 4.4% from FY2024.
- Annual Accumulated Expenses has increased for four straight fiscal years, with a five-year compound annual growth rate of 2.1% (FY2020 to FY2025).
- Across earlier fiscal years, Accumulated Expenses came in at $2.39 billion in FY2024 (+4.3%), $2.29 billion in FY2023 (+4.9%), $2.18 billion in FY2022 (+0.3%) and $2.17 billion in FY2021 (-3.4%).
- Quarterly Accumulated Expenses has ranged from $2.15 billion in fiscal Q2 2023 to $2.5 billion in fiscal Q3 2025 over the past five years.
- On a year-over-year basis, Accumulated Expenses rose in five of the last eight quarters, with growth averaging 1.0%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 10.7% in fiscal Q2 2024, against a decline of 5.3% in fiscal Q2 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.39 billion (Q2 2026), $2.4 billion (Q1 2026) and $2.49 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 96.54 Bn | 94.73 Bn | 1.55 Bn |
| 2 | Ferrovial | 38.99 Bn | 19.58 Bn | - |
| 3 | Emcor | 33.36 Bn | 29.75 Bn | 1.02 Bn |
| 4 | Mastec | 17.15 Bn | 16.06 Bn | 556.28 Mn |
| 5 | Jacobs Solutions | 15.84 Bn | 10.49 Bn | 810.70 Mn |
| 6 | Sterling Infrastructure | 15.09 Bn | 13.45 Bn | 289.96 Mn |
| 7 | IES Holdings | 12.79 Bn | 11.66 Bn | 340.66 Mn |
| 8 | Dycom Industries | 8.06 Bn | 7.19 Bn | - |
| 9 | Stantec | 7.69 Bn | 7.69 Bn | - |
| 10 | Aecom | 7.59 Bn | 2.91 Bn | -34.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.40 Bn |
| Mar 31, 2026 | 2.39 Bn |
| Dec 31, 2025 | 2.40 Bn |
| Sep 30, 2025 | 2.49 Bn |
| Jun 30, 2025 | 2.50 Bn |
| Mar 31, 2025 | 2.35 Bn |
| Dec 31, 2024 | 2.36 Bn |
| Sep 30, 2024 | 2.39 Bn |
| Jun 30, 2024 | 2.41 Bn |
| Mar 31, 2024 | 2.39 Bn |
| Dec 31, 2023 | 2.42 Bn |
| Sep 30, 2023 | 2.29 Bn |
| Jun 30, 2023 | 2.22 Bn |
| Mar 31, 2023 | 2.15 Bn |
| Dec 31, 2022 | 2.20 Bn |
| Sep 30, 2022 | 2.18 Bn |
| Jun 30, 2022 | 2.26 Bn |
| Mar 31, 2022 | 2.22 Bn |
| Dec 31, 2021 | 2.26 Bn |
| Sep 30, 2021 | 2.17 Bn |
API Access
Aecom Accumulated 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=accumulated-expenses&ticker=ACM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ACM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();