Abm Industries (ABM) Long-Term Debt Repayments (2009 - 2026)
Abm Industries (ABM) recorded Long-Term Debt Repayments of $744.7 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 45.4% from $512 million a year earlier and up 52.5% from the prior quarter.
Abm Industries (ABM) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a TTM basis, Abm Industries' Long-Term Debt Repayments came in at $1.92 billion as of Jul 31, 2026, up 17.6% year-over-year; for FY2025 (ended Oct 31, 2025), it was $1.61 billion, up 22.9% from FY2024.
- Annual Long-Term Debt Repayments has increased for four straight fiscal years, with a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- Across earlier fiscal years, Long-Term Debt Repayments came in at $1.31 billion in FY2024 (+15.5%), $1.14 billion in FY2023 (+3.6%), $1.1 billion in FY2022 (+464.8%) and $194.2 million in FY2021 (-83.0%).
- The fiscal Q3 2026 figure is the highest quarterly Long-Term Debt Repayments in data going back to fiscal Q4 2009.
- On a year-over-year basis, Long-Term Debt Repayments rose in six of the last eight quarters, with growth averaging 23.3%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 993.9% in fiscal Q1 2022, against a decline of 58.6% in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $488.2 million (Q2 2026), $291 million (Q1 2026) and $401 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 158.43 Bn | 117.72 Bn | 6.13 Bn | - |
| 2 | Cintas | 88.15 Bn | 87.23 Bn | 1.55 Bn | - |
| 3 | Iron Mountain | 34.59 Bn | 33.79 Bn | 1.07 Bn | 6.75 Bn |
| 4 | APi | 19.01 Bn | 16.23 Bn | 770.00 Mn | 7.00 Mn |
| 5 | Rollins | 16.60 Bn | 16.15 Bn | 582.90 Mn | - |
| 6 | Gartner | 15.19 Bn | 8.88 Bn | 1.19 Bn | - |
| 7 | UL Solutions | 15.06 Bn | 13.81 Bn | 417.00 Mn | 57.00 Mn |
| 8 | Aramark | 14.17 Bn | 12.12 Bn | 430.34 Mn | 11.63 Mn |
| 9 | Rentokil Initial | 11.76 Bn | 5.27 Bn | - | - |
| 10 | Abm Industries | 3.15 Bn | 2.74 Bn | 286.10 Mn | 745.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 745.70 Mn |
| Apr 30, 2026 | 489.30 Mn |
| Jan 31, 2026 | 292.20 Mn |
| Oct 31, 2025 | 402.20 Mn |
| Jul 31, 2025 | 513.10 Mn |
| Apr 30, 2025 | 328.10 Mn |
| Jan 31, 2025 | 374.10 Mn |
| Oct 31, 2024 | 426.20 Mn |
| Jul 31, 2024 | 291.20 Mn |
| Apr 30, 2024 | 314.20 Mn |
| Jan 31, 2024 | 285.10 Mn |
| Oct 31, 2023 | 398.40 Mn |
| Jul 31, 2023 | 279.30 Mn |
| Apr 30, 2023 | 312.90 Mn |
| Jan 31, 2023 | 148.40 Mn |
| Oct 31, 2022 | 413.10 Mn |
| Jul 31, 2022 | 247.40 Mn |
| Apr 30, 2022 | 81.10 Mn |
| Jan 31, 2022 | 357.20 Mn |
| Oct 31, 2021 | 96.80 Mn |
Abm Industries Long-Term Debt Repayments 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-debt-repayments&ticker=ABM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=ABM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();