Abm Industries (ABM) Capital Expenditures (2009 - 2026)
Abm Industries (ABM) reported Capital Expenditures of $18.4 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 25.8% from $24.8 million a year earlier and down 58.0% from the prior quarter.
Abm Industries (ABM) Capital Expenditures (2009 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Abm Industries' Capital Expenditures came in at $96.1 million, up 30.9% year-over-year; for FY2025 (ended Oct 31, 2025), it was $79.3 million, up 33.5% from FY2024.
- Capital Expenditures has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 15.9% (FY2020 to FY2025).
- By fiscal year, Capital Expenditures came in at $59.4 million in FY2024 (+12.9%), $52.6 million in FY2023 (+3.5%), $50.8 million in FY2022 (+48.1%) and $34.3 million in FY2021 (-9.7%).
- Five-year quarterly Capital Expenditures spans a low of $9.6 million in fiscal Q1 2022 and a high of $43.8 million in fiscal Q2 2026.
- Year over year, Capital Expenditures gained in five of the last eight quarters, with growth averaging 28.1%.
- The high point for year-over-year Capital Expenditures in five years was fiscal Q2 2026 (growth of 156.1%); the low point was fiscal Q3 2023 (a decline of 40.3%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $43.8 million (Q2 2026), $13.2 million (Q1 2026) and $20.7 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 186.22 Mn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 96.00 Mn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 588.19 Mn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 31.00 Mn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 6.43 Mn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 112.37 Mn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 69.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 19.92 Mn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | - |
| 10 | Abm Industries | 2.85 Bn | 2.44 Bn | 286.10 Mn | 18.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 18.40 Mn |
| Apr 30, 2026 | 43.80 Mn |
| Jan 31, 2026 | 13.20 Mn |
| Oct 31, 2025 | 20.70 Mn |
| Jul 31, 2025 | 24.80 Mn |
| Apr 30, 2025 | 17.10 Mn |
| Jan 31, 2025 | 16.70 Mn |
| Oct 31, 2024 | 14.80 Mn |
| Jul 31, 2024 | 15.50 Mn |
| Apr 30, 2024 | 15.50 Mn |
| Jan 31, 2024 | 13.60 Mn |
| Oct 31, 2023 | 18.00 Mn |
| Jul 31, 2023 | 10.80 Mn |
| Apr 30, 2023 | 10.00 Mn |
| Jan 31, 2023 | 13.80 Mn |
| Oct 31, 2022 | 13.10 Mn |
| Jul 31, 2022 | 18.10 Mn |
| Apr 30, 2022 | 10.00 Mn |
| Jan 31, 2022 | 9.60 Mn |
| Oct 31, 2021 | 11.00 Mn |
Abm Industries Capital Expenditures 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=capital-expenditures&ticker=ABM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=ABM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();