Aecom (ACM) Long-Term Investments (2009 - 2026)
Aecom (ACM) posted Long-Term Investments of $155.49 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 4.2% from $149.2 million a year earlier and up 5.7% from the prior quarter.
Aecom (ACM) Long-Term Investments (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Aecom's Long-Term Investments came in at $138.06 million, unchanged from FY2024.
- Annual Long-Term Investments shows a five-year compound annual growth rate of -14.2% (FY2020 to FY2025).
- In prior fiscal years, Aecom's Long-Term Investments was $138.07 million in FY2024 (-0.8%), $139.24 million in FY2023 (-60.8%), $354.98 million in FY2022 (+7.9%) and $328.91 million in FY2021 (+10.5%).
- The fiscal Q3 2026 figure stands as the highest quarterly Long-Term Investments since fiscal Q2 2023.
- On a year-over-year basis, Long-Term Investments has increased in each of the last three quarters, with growth averaging 3.4% over the last eight quarters.
- The strongest year-over-year quarter for Long-Term Investments in the past five years was fiscal Q1 2022, with growth of 28.6%; the weakest was fiscal Q1 2024, with a decline of 64.9%.
- According to Business Quant data, Long-Term Investments for the three prior fiscal quarters was $147.07 million (Q2 2026), $146.5 million (Q1 2026) and $138.06 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 96.54 Bn | 94.73 Bn | 1.55 Bn | - |
| 2 | Ferrovial | 38.99 Bn | 19.58 Bn | - | 4.60 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 | 101.57 Mn |
| 7 | IES Holdings | 12.79 Bn | 11.66 Bn | 340.66 Mn | 63.89 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 | 155.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 155.49 Mn |
| Mar 31, 2026 | 147.07 Mn |
| Dec 31, 2025 | 146.50 Mn |
| Sep 30, 2025 | 138.06 Mn |
| Jun 30, 2025 | 149.20 Mn |
| Mar 31, 2025 | 143.58 Mn |
| Dec 31, 2024 | 144.95 Mn |
| Sep 30, 2024 | 138.07 Mn |
| Jun 30, 2024 | 140.63 Mn |
| Mar 31, 2024 | 137.42 Mn |
| Dec 31, 2023 | 132.46 Mn |
| Sep 30, 2023 | 139.24 Mn |
| Jun 30, 2023 | 138.19 Mn |
| Mar 31, 2023 | 387.10 Mn |
| Dec 31, 2022 | 376.95 Mn |
| Sep 30, 2022 | 354.98 Mn |
| Jun 30, 2022 | 347.24 Mn |
| Mar 31, 2022 | 341.45 Mn |
| Dec 31, 2021 | 327.50 Mn |
| Sep 30, 2021 | 328.91 Mn |
Aecom Long-Term Investments 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=long-term-investments&ticker=ACM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=ACM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();