Aecom (ACM) Interest Expenses (2009 - 2026)
Aecom (ACM) posted Interest Expenses of $47.64 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 18.5% from $40.2 million a year earlier but down 5.8% from the prior quarter.
Aecom (ACM) Interest Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at Aecom was $202.38 million, up 18.7% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $184.3 million, down 0.6% from FY2024.
- Annual Interest Expenses shows a three-year compound annual growth rate of 18.7% (FY2022 to FY2025).
- In prior fiscal years, Aecom's Interest Expenses was $185.42 million in FY2024 (+16.4%), $159.34 million in FY2023 (+44.5%) and $110.27 million in FY2022.
- Quarterly Interest Expenses has run from a low of $27.42 million in fiscal Q3 2022 to a high of $58.87 million in fiscal Q4 2025 over five years.
- On a year-over-year basis, Interest Expenses has increased in each of the last four quarters, with growth averaging 6.8% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was fiscal Q3 2023, with growth of 41.8%; the weakest was fiscal Q3 2025, with a decline of 21.7%.
- According to Business Quant data, Interest Expenses for the three prior fiscal quarters was $50.57 million (Q2 2026), $45.3 million (Q1 2026) and $58.87 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 96.54 Bn | 94.73 Bn | 1.55 Bn | 73.55 Mn |
| 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 | 90.60 Mn |
| 5 | Jacobs Solutions | 15.84 Bn | 10.49 Bn | 810.70 Mn | 54.65 Mn |
| 6 | Sterling Infrastructure | 15.09 Bn | 13.45 Bn | 289.96 Mn | 3.09 Mn |
| 7 | IES Holdings | 12.79 Bn | 11.66 Bn | 340.66 Mn | 1.01 Mn |
| 8 | Dycom Industries | 8.06 Bn | 7.19 Bn | - | - |
| 9 | Stantec | 7.69 Bn | 7.69 Bn | - | 36.94 Mn |
| 10 | Aecom | 7.59 Bn | 2.91 Bn | -34.04 Mn | 47.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.64 Mn |
| Mar 31, 2026 | 50.57 Mn |
| Dec 31, 2025 | 45.30 Mn |
| Sep 30, 2025 | 58.87 Mn |
| Jun 30, 2025 | 40.20 Mn |
| Mar 31, 2025 | 42.21 Mn |
| Dec 31, 2024 | 43.03 Mn |
| Sep 30, 2024 | 45.07 Mn |
| Jun 30, 2024 | 51.37 Mn |
| Mar 31, 2024 | 47.72 Mn |
| Dec 31, 2023 | 41.26 Mn |
| Sep 30, 2023 | 41.40 Mn |
| Jun 30, 2023 | 38.87 Mn |
| Mar 31, 2023 | 42.37 Mn |
| Dec 31, 2022 | 36.70 Mn |
| Sep 30, 2022 | 33.30 Mn |
| Jun 30, 2022 | 27.42 Mn |
| Jun 30, 2016 | 62.52 Mn |
| Mar 31, 2016 | 62.72 Mn |
| Dec 31, 2015 | 59.52 Mn |
Aecom Interest 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=interest-expenses&ticker=ACM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=ACM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();