Aecom (ACM) Tax Provisions (2009 - 2026)
Aecom's Tax Provisions came in at -$26.57 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), compared with $65.15 million a year earlier.
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Analysis
Aecom (ACM) Tax Provisions (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Aecom reported Tax Provisions of $97.76 million, down 45.8% year-over-year; for FY2025 (ended Sep 30, 2025), it was $204.02 million, up 33.4% from FY2024.
- Tax Provisions carries a five-year compound annual growth rate of 34.8% (FY2020 to FY2025).
- Going back by fiscal year, Tax Provisions was $152.9 million in FY2024 (+172.5%), $56.1 million in FY2023 (-58.8%), $136.1 million in FY2022 (+52.9%) and $89.01 million in FY2021 (+94.3%).
- The fiscal Q3 2026 figure represents the lowest quarterly Tax Provisions since fiscal Q1 2019.
- Year-over-year, Tax Provisions increased in six of the last seven quarters, with growth averaging 56.4%.
- The fastest year-over-year change in Tax Provisions over five years came in fiscal Q4 2024 (growth of 277.3%), and the weakest in fiscal Q4 2023 (a decline of 72.0%).
- Business Quant data shows ACM's Tax Provisions at $26.84 million (Q2 2026), $39.08 million (Q1 2026) and $58.4 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 96.54 Bn | 94.73 Bn | 1.55 Bn | 157.58 Mn |
| 2 | Ferrovial | 38.99 Bn | 19.58 Bn | - | - |
| 3 | Emcor | 33.36 Bn | 29.75 Bn | 1.02 Bn | 147.97 Mn |
| 4 | Mastec | 17.15 Bn | 16.06 Bn | 556.28 Mn | 48.00 Mn |
| 5 | Jacobs Solutions | 15.84 Bn | 10.49 Bn | 810.70 Mn | 104.64 Mn |
| 6 | Sterling Infrastructure | 15.09 Bn | 13.45 Bn | 289.96 Mn | 51.32 Mn |
| 7 | IES Holdings | 12.79 Bn | 11.66 Bn | 340.66 Mn | 51.29 Mn |
| 8 | Dycom Industries | 8.06 Bn | 7.19 Bn | - | - |
| 9 | Stantec | 7.69 Bn | 7.69 Bn | - | 61.88 Mn |
| 10 | Aecom | 7.59 Bn | 2.91 Bn | -34.04 Mn | -26.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -26.57 Mn |
| Mar 31, 2026 | 26.84 Mn |
| Dec 31, 2025 | 39.08 Mn |
| Sep 30, 2025 | 58.40 Mn |
| Jun 30, 2025 | 65.15 Mn |
| Mar 31, 2025 | 51.24 Mn |
| Dec 31, 2024 | 29.23 Mn |
| Sep 30, 2024 | 34.82 Mn |
| Jun 30, 2024 | 46.04 Mn |
| Mar 31, 2024 | 45.39 Mn |
| Dec 31, 2023 | 26.66 Mn |
| Sep 30, 2023 | 9.23 Mn |
| Jun 30, 2023 | -20.00 Mn |
| Mar 31, 2023 | 41.11 Mn |
| Dec 31, 2022 | 25.77 Mn |
| Sep 30, 2022 | 33.00 Mn |
| Jun 30, 2022 | 44.52 Mn |
| Mar 31, 2022 | 36.01 Mn |
| Dec 31, 2021 | 22.56 Mn |
| Sep 30, 2021 | 46.10 Mn |
API Access
Aecom Tax Provisions 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=tax-provisions&ticker=ACM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=ACM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();