Abm Industries (ABM) Interest Expenses (2009 - 2026)
Abm Industries' Interest Expenses was $29.5 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 16.6% from $25.3 million a year earlier and up 5.0% from the prior quarter.
Abm Industries (ABM) Interest Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Abm Industries' Interest Expenses was $105.9 million through Jul 31, 2026, up 12.7% year-over-year; for FY2025 (ended Oct 31, 2025), it was $96.4 million, up 13.4% from FY2024.
- Interest Expenses has now increased for four consecutive fiscal years, with a five-year compound annual growth rate of 16.7% (FY2020 to FY2025).
- In earlier fiscal years, Interest Expenses was $85 million in FY2024 (+3.3%), $82.3 million in FY2023 (+100.2%), $41.1 million in FY2022 (+43.7%) and $28.6 million in FY2021 (-35.9%).
- The fiscal Q3 2026 figure marks the highest quarterly Interest Expenses in data going back to fiscal Q3 2009.
- Compared with a year earlier, Interest Expenses has increased for nine straight quarters, with growth averaging 12.5% over the last eight quarters.
- The best year-over-year quarter for Interest Expenses over five years was fiscal Q1 2023 (growth of 219.4%); the worst was fiscal Q4 2021 (a decline of 40.6%).
- Per Business Quant data, ABM's Interest Expenses in the three fiscal quarters before Q3 2026 was $28.1 million (Q2 2026), $24 million (Q1 2026) and $24.3 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 150.64 Bn | 109.93 Bn | 6.13 Bn | 70.65 Mn |
| 2 | Cintas | 87.29 Bn | 86.37 Bn | 1.55 Bn | 24.71 Mn |
| 3 | Iron Mountain | 35.26 Bn | 34.45 Bn | 1.07 Bn | - |
| 4 | APi | 19.43 Bn | 16.47 Bn | 703.00 Mn | 36.00 Mn |
| 5 | Rollins | 16.61 Bn | 16.16 Bn | 582.90 Mn | 10.67 Mn |
| 6 | UL Solutions | 15.12 Bn | 13.88 Bn | 417.00 Mn | 5.00 Mn |
| 7 | Gartner | 14.89 Bn | 8.58 Bn | 1.19 Bn | 22.27 Mn |
| 8 | Aramark | 14.72 Bn | 12.67 Bn | 430.34 Mn | - |
| 9 | Rentokil Initial | 11.73 Bn | 5.24 Bn | - | - |
| 10 | Abm Industries | 3.16 Bn | 2.75 Bn | 286.10 Mn | 29.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 29.50 Mn |
| Apr 30, 2026 | 28.10 Mn |
| Jan 31, 2026 | 24.00 Mn |
| Oct 31, 2025 | 24.30 Mn |
| Jul 31, 2025 | 25.30 Mn |
| Apr 30, 2025 | 23.90 Mn |
| Jan 31, 2025 | 22.90 Mn |
| Oct 31, 2024 | 21.90 Mn |
| Jul 31, 2024 | 21.20 Mn |
| Apr 30, 2024 | 20.60 Mn |
| Jan 31, 2024 | 21.30 Mn |
| Oct 31, 2023 | 20.50 Mn |
| Jul 31, 2023 | 20.90 Mn |
| Apr 30, 2023 | 21.10 Mn |
| Jan 31, 2023 | 19.80 Mn |
| Oct 31, 2022 | 15.90 Mn |
| Jul 31, 2022 | 11.10 Mn |
| Apr 30, 2022 | 7.80 Mn |
| Jan 31, 2022 | 6.20 Mn |
| Oct 31, 2021 | 6.00 Mn |
Abm Industries 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=ABM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "ABM", "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=ABM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();