Abm Industries (ABM) Cost of Revenue (2009 - 2026)
Abm Industries' Cost of Revenue came in at $2.03 billion for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 4.2% from $1.95 billion a year earlier and up 0.9% from the prior quarter.
Abm Industries (ABM) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Abm Industries reported Cost of Revenue of $8.05 billion, up 6.6% year-over-year; for FY2025 (ended Oct 31, 2025), it was $7.67 billion, up 4.7% from FY2024.
- Cost of Revenue has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 8.3% (FY2020 to FY2025).
- Going back by fiscal year, Cost of Revenue was $7.33 billion in FY2024 (+4.1%), $7.04 billion in FY2023 (+4.1%), $6.76 billion in FY2022 (+28.5%) and $5.26 billion in FY2021 (+2.0%).
- The fiscal Q3 2026 figure represents the highest quarterly Cost of Revenue in data going back to fiscal Q3 2009.
- Year-over-year, Cost of Revenue has increased for 21 consecutive quarters, with growth averaging 5.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Cost of Revenue ran from 1.6% in fiscal Q1 2025 to 32.8% in fiscal Q1 2022.
- Business Quant data shows ABM's Cost of Revenue at $2.01 billion (Q2 2026), $1.98 billion (Q1 2026) and $2.03 billion (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 159.50 Bn | 117.43 Bn | 5.98 Bn | 12.69 Bn |
| 2 | Cintas | 88.97 Bn | 88.05 Bn | 1.55 Bn | 1.46 Bn |
| 3 | Iron Mountain | 31.77 Bn | 30.97 Bn | 1.06 Bn | 926.65 Mn |
| 4 | Rollins | 18.19 Bn | 17.73 Bn | 582.90 Mn | 506.77 Mn |
| 5 | APi | 17.61 Bn | 14.83 Bn | 770.00 Mn | 1.78 Bn |
| 6 | UL Solutions | 15.91 Bn | 13.91 Bn | 423.00 Mn | 400.00 Mn |
| 7 | Aramark | 13.83 Bn | 11.78 Bn | 430.34 Mn | 4.63 Bn |
| 8 | Gartner | 12.12 Bn | 5.61 Bn | 1.07 Bn | 433.14 Mn |
| 9 | Rentokil Initial | 11.93 Bn | 5.45 Bn | - | - |
| 10 | Abm Industries | 3.11 Bn | 2.70 Bn | 286.10 Mn | 2.03 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.03 Bn |
| Apr 30, 2026 | 2.01 Bn |
| Jan 31, 2026 | 1.98 Bn |
| Oct 31, 2025 | 2.03 Bn |
| Jul 31, 2025 | 1.95 Bn |
| Apr 30, 2025 | 1.84 Bn |
| Jan 31, 2025 | 1.86 Bn |
| Oct 31, 2024 | 1.91 Bn |
| Jul 31, 2024 | 1.83 Bn |
| Apr 30, 2024 | 1.76 Bn |
| Jan 31, 2024 | 1.83 Bn |
| Oct 31, 2023 | 1.81 Bn |
| Jul 31, 2023 | 1.77 Bn |
| Apr 30, 2023 | 1.72 Bn |
| Jan 31, 2023 | 1.75 Bn |
| Oct 31, 2022 | 1.75 Bn |
| Jul 31, 2022 | 1.70 Bn |
| Apr 30, 2022 | 1.65 Bn |
| Jan 31, 2022 | 1.66 Bn |
| Oct 31, 2021 | 1.45 Bn |
Abm Industries Cost of Revenue 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=cost-of-revenue&ticker=ABM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=ABM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();