Abm Industries (ABM) Other Accumulated Expenses (2009 - 2026)
Abm Industries (ABM) reported Other Accumulated Expenses of $304.7 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 7.9% from $330.7 million a year earlier and down 7.6% from the prior quarter.
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Analysis
Abm Industries (ABM) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Abm Industries posted Other Accumulated Expenses of $324.1 million, down 6.9% from FY2024.
- Other Accumulated Expenses has a five-year compound annual growth rate of 14.1% (FY2020 to FY2025).
- By fiscal year, Other Accumulated Expenses came in at $348.2 million in FY2024 (+33.3%), $261.2 million in FY2023 (+13.5%), $230.2 million in FY2022 (-40.6%) and $387.4 million in FY2021 (+131.6%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Other Accumulated Expenses since fiscal Q2 2024.
- Year over year, Other Accumulated Expenses has now declined in each of the last four quarters, with growth averaging 9.6% over the last eight quarters.
- The high point for year-over-year Other Accumulated Expenses in five years was fiscal Q4 2021 (growth of 131.6%); the low point was fiscal Q4 2022 (a decline of 40.6%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $329.7 million (Q2 2026), $339.8 million (Q1 2026) and $324.1 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 159.50 Bn | 117.43 Bn | 5.98 Bn |
| 2 | Cintas | 88.97 Bn | 88.05 Bn | 1.55 Bn |
| 3 | Iron Mountain | 31.77 Bn | 30.97 Bn | 1.06 Bn |
| 4 | Rollins | 18.19 Bn | 17.73 Bn | 582.90 Mn |
| 5 | APi | 17.61 Bn | 14.83 Bn | 770.00 Mn |
| 6 | UL Solutions | 15.91 Bn | 13.91 Bn | 423.00 Mn |
| 7 | Aramark | 13.83 Bn | 11.78 Bn | 430.34 Mn |
| 8 | Gartner | 12.12 Bn | 5.61 Bn | 1.07 Bn |
| 9 | Rentokil Initial | 11.93 Bn | 5.45 Bn | - |
| 10 | Abm Industries | 3.11 Bn | 2.70 Bn | 286.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 304.70 Mn |
| Apr 30, 2026 | 329.70 Mn |
| Jan 31, 2026 | 339.80 Mn |
| Oct 31, 2025 | 324.10 Mn |
| Jul 31, 2025 | 330.70 Mn |
| Apr 30, 2025 | 379.30 Mn |
| Jan 31, 2025 | 381.60 Mn |
| Oct 31, 2024 | 348.20 Mn |
| Jul 31, 2024 | 315.40 Mn |
| Apr 30, 2024 | 267.30 Mn |
| Jan 31, 2024 | 281.30 Mn |
| Oct 31, 2023 | 261.20 Mn |
| Jul 31, 2023 | 361.60 Mn |
| Apr 30, 2023 | 334.70 Mn |
| Jan 31, 2023 | 333.70 Mn |
| Oct 31, 2022 | 230.20 Mn |
| Jul 31, 2022 | 268.30 Mn |
| Apr 30, 2022 | 296.70 Mn |
| Jan 31, 2022 | 427.30 Mn |
| Oct 31, 2021 | 387.40 Mn |
API Access
Abm Industries Other Accumulated 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=other-accumulated-expenses&ticker=ABM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=ABM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();