Abm Industries (ABM) Accumulated Expenses (2009 - 2026)
Abm Industries (ABM) posted Accumulated Expenses of $204.5 million for Q3 2026, down 5.76% quarter-over-quarter from $217.0 million in Q2 2026, and down 15.95% YoY from $243.3 million in Q3 2025.
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Abm Industries (ABM) Accumulated Expenses (2009 - 2026) Analysis & Trends
Abm Industries (ABM) has 18 years of Accumulated Expenses data on file, last reported at $204.5 million in Q3 2026.
- For the quarter ending Q3 2026, Accumulated Expenses fell 15.95% year-over-year to $204.5 million; the trailing twelve-month figure through Jul 2026 stood at $204.5 million (down 15.95% YoY), and the FY2025 full-year result was $200.8 million, down 32.07% from the prior year.
- Accumulated Expenses was $204.5 million for Q3 2026 at Abm Industries, down from $217.0 million in the prior quarter.
- In the past five years, Accumulated Expenses ranged from a high of $295.6 million in Q4 2024 to a low of $188.5 million in Q3 2022.
- A 5-year average of $218.4 million and a median of $207.7 million in 2023 frame the typical range for Accumulated Expenses.
- Across the five-year window, Accumulated Expenses rose 25.46% in 2022 and slumped 32.07% in 2025, its largest moves.
- Abm Industries' Accumulated Expenses stood at $246.6 million in 2022, then increased by 1.26% to $249.7 million in 2023, then grew by 18.38% to $295.6 million in 2024, then slumped by 32.07% to $200.8 million in 2025, then grew by 1.84% to $204.5 million in 2026.
- Per Business Quant data, the three most recent Accumulated Expenses figures were $204.5 million in Q3 2026, $217.0 million in Q2 2026, and $202.1 million in Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cintas | 79.09 Bn | 78.80 Bn | 1.48 Bn |
| 2 | Iron Mountain | 34.02 Bn | 34.14 Bn | 1.07 Bn |
| 3 | APi | 16.16 Bn | 15.31 Bn | 703.00 Mn |
| 4 | Rollins | 15.61 Bn | 15.50 Bn | 569.95 Mn |
| 5 | Aramark | 14.88 Bn | 14.45 Bn | 430.34 Mn |
| 6 | FirstService | 5.90 Bn | 6.24 Bn | 480.66 Mn |
| 7 | Unifirst | 4.73 Bn | 4.56 Bn | 234.73 Mn |
| 8 | Geo | 4.20 Bn | 3.95 Bn | - |
| 9 | CoreCivic | 3.49 Bn | 3.38 Bn | - |
| 10 | Abm Industries | 2.92 Bn | 2.81 Bn | 286.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 204.50 Mn |
| Apr 30, 2026 | 217.00 Mn |
| Jan 31, 2026 | 202.10 Mn |
| Oct 31, 2025 | 200.80 Mn |
| Jul 31, 2025 | 243.30 Mn |
| Apr 30, 2025 | 212.50 Mn |
| Jan 31, 2025 | 202.30 Mn |
| Oct 31, 2024 | 295.60 Mn |
| Jul 31, 2024 | 239.10 Mn |
| Apr 30, 2024 | 223.60 Mn |
| Jan 31, 2024 | 201.60 Mn |
| Oct 31, 2023 | 249.70 Mn |
| Jul 31, 2023 | 212.70 Mn |
| Apr 30, 2023 | 207.70 Mn |
| Jan 31, 2023 | 199.90 Mn |
| Oct 31, 2022 | 246.60 Mn |
| Jul 31, 2022 | 188.50 Mn |
| Apr 30, 2022 | 205.30 Mn |
| Jan 31, 2022 | 196.60 Mn |
| Oct 31, 2021 | 238.00 Mn |
API Access
Abm Industries 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=accumulated-expenses&ticker=ABM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=ABM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();