Aecom (ACM) Capital Expenditures (2009 - 2026)
Aecom's Capital Expenditures came in at $40.35 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 83.1% from $22.04 million a year earlier and up 29.3% from the prior quarter.
Aecom (ACM) Capital Expenditures (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Aecom reported Capital Expenditures of $161.92 million, up 63.6% year-over-year; for FY2025 (ended Sep 30, 2025), it was $136.68 million, up 14.3% from FY2024.
- Capital Expenditures carries a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- Going back by fiscal year, Capital Expenditures was $119.6 million in FY2024 (+13.3%), $105.6 million in FY2023 (-22.9%), $137.02 million in FY2022 (+0.6%) and $136.26 million in FY2021 (+18.9%).
- The five-year range for quarterly Capital Expenditures is $12.38 million (fiscal Q2 2025) to $66.52 million (fiscal Q4 2022).
- Year-over-year, Capital Expenditures increased in five of the last eight quarters, with growth averaging 40.1%.
- The fastest year-over-year change in Capital Expenditures over five years came in fiscal Q4 2022 (growth of 181.2%), and the weakest in fiscal Q2 2022 (a decline of 71.9%).
- Business Quant data shows ACM's Capital Expenditures at $31.21 million (Q2 2026), $28.32 million (Q1 2026) and $62.04 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 96.54 Bn | 94.73 Bn | 1.55 Bn | 230.96 Mn |
| 2 | Ferrovial | 38.99 Bn | 19.58 Bn | - | - |
| 3 | Emcor | 33.36 Bn | 29.75 Bn | 1.02 Bn | 31.15 Mn |
| 4 | Mastec | 17.15 Bn | 16.06 Bn | 556.28 Mn | 91.51 Mn |
| 5 | Jacobs Solutions | 15.84 Bn | 10.49 Bn | 810.70 Mn | 25.13 Mn |
| 6 | Sterling Infrastructure | 15.09 Bn | 13.45 Bn | 289.96 Mn | 50.02 Mn |
| 7 | IES Holdings | 12.79 Bn | 11.66 Bn | 340.66 Mn | 44.64 Mn |
| 8 | Dycom Industries | 8.06 Bn | 7.19 Bn | - | - |
| 9 | Stantec | 7.69 Bn | 7.69 Bn | - | -30.00 Mn |
| 10 | Aecom | 7.59 Bn | 2.91 Bn | -34.04 Mn | 40.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.35 Mn |
| Mar 31, 2026 | 31.21 Mn |
| Dec 31, 2025 | 28.32 Mn |
| Sep 30, 2025 | 62.04 Mn |
| Jun 30, 2025 | 22.04 Mn |
| Mar 31, 2025 | 12.38 Mn |
| Dec 31, 2024 | 40.22 Mn |
| Sep 30, 2024 | 24.32 Mn |
| Jun 30, 2024 | 18.55 Mn |
| Mar 31, 2024 | 20.49 Mn |
| Dec 31, 2023 | 56.25 Mn |
| Sep 30, 2023 | 22.31 Mn |
| Jun 30, 2023 | 14.47 Mn |
| Mar 31, 2023 | 32.45 Mn |
| Dec 31, 2022 | 36.37 Mn |
| Sep 30, 2022 | 66.52 Mn |
| Jun 30, 2022 | 22.01 Mn |
| Mar 31, 2022 | 15.82 Mn |
| Dec 31, 2021 | 32.67 Mn |
| Sep 30, 2021 | 23.66 Mn |
Aecom Capital Expenditures 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=capital-expenditures&ticker=ACM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=ACM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();