Aecom (ACM) Total Non-Current Liabilities (2009 - 2026)
Aecom's Total Non-Current Liabilities came in at $130.3 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 41.6% from $92 million a year earlier and up 16.4% from the prior quarter.
Aecom (ACM) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Aecom's Total Non-Current Liabilities was $92.4 million, down 19.5% from FY2024.
- Total Non-Current Liabilities has declined in each of the last three fiscal years, though with a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- Going back by fiscal year, Total Non-Current Liabilities was $114.8 million in FY2024 (-74.1%), $443.2 million in FY2023 (-57.6%), $1.04 billion in FY2022 (+93.8%) and $538.7 million in FY2021 (+791.9%).
- The fiscal Q3 2026 figure represents the highest quarterly Total Non-Current Liabilities since fiscal Q3 2024.
- Year-over-year, Total Non-Current Liabilities has increased for three consecutive quarters, with an average decline of 29.8% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in fiscal Q3 2022 (growth of 795.2%), and the weakest in fiscal Q2 2025 (a decline of 82.8%).
- Business Quant data shows ACM's Total Non-Current Liabilities at $111.9 million (Q2 2026), $113 million (Q1 2026) and $92.4 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 90.91 Bn | 88.99 Bn | 1.55 Bn | 17.11 Bn |
| 2 | Ferrovial | 35.95 Bn | 14.20 Bn | - | 15.61 Bn |
| 3 | Emcor | 30.73 Bn | 27.12 Bn | 1.02 Bn | 5.66 Bn |
| 4 | Jacobs Solutions | 16.56 Bn | 11.23 Bn | 810.70 Mn | 4.54 Bn |
| 5 | Mastec | 14.24 Bn | 13.03 Bn | 556.28 Mn | 6.93 Bn |
| 6 | Sterling Infrastructure | 12.67 Bn | 10.99 Bn | 289.96 Mn | 1.73 Bn |
| 7 | IES Holdings | 9.39 Bn | 8.25 Bn | 340.66 Mn | 1.02 Bn |
| 8 | Stantec | 7.98 Bn | 6.91 Bn | 1.36 Bn | 3.35 Bn |
| 9 | Aecom | 7.66 Bn | 2.78 Bn | -34.04 Mn | 9.33 Bn |
| 10 | Dycom Industries | 6.93 Bn | 6.07 Bn | - | 4.10 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.33 Bn |
| Mar 31, 2026 | 9.22 Bn |
| Dec 31, 2025 | 9.22 Bn |
| Sep 30, 2025 | 9.29 Bn |
| Jun 30, 2025 | 9.39 Bn |
| Mar 31, 2025 | 9.16 Bn |
| Dec 31, 2024 | 9.27 Bn |
| Sep 30, 2024 | 116.30 Mn |
| Jun 30, 2024 | 507.30 Mn |
| Mar 31, 2024 | 435.70 Mn |
| Dec 31, 2023 | 441.00 Mn |
| Sep 30, 2023 | 443.20 Mn |
| Jun 30, 2023 | 457.30 Mn |
| Mar 31, 2023 | 1.05 Bn |
| Dec 31, 2022 | 523.60 Mn |
| Sep 30, 2022 | 1.04 Bn |
| Jun 30, 2022 | 525.50 Mn |
| Mar 31, 2022 | 1.06 Bn |
| Dec 31, 2021 | 540.50 Mn |
| Sep 30, 2021 | 538.70 Mn |
Aecom Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=ACM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=ACM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();