Abm Industries (ABM) Intangibles (2009 - 2026)
Abm Industries (ABM) recorded Intangibles of $328.5 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 28.5% from $255.6 million a year earlier but down 6.1% from the prior quarter.
Abm Industries (ABM) Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Abm Industries reported Intangibles of $243.2 million, down 13.9% from FY2024.
- Annual Intangibles has declined for four straight fiscal years, though with a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- Across earlier fiscal years, Intangibles came in at $282.4 million in FY2024 (-6.8%), $302.9 million in FY2023 (-20.0%), $378.5 million in FY2022 (-10.9%) and $424.8 million in FY2021 (+77.2%).
- Quarterly Intangibles has ranged from $231.9 million in fiscal Q1 2026 to $424.8 million in fiscal Q4 2021 over the past five years.
- On a year-over-year basis, Intangibles rose in two of the last eight quarters, with growth averaging 0.4%.
- Peak year-over-year performance for Intangibles in the last five years was growth of 83.7% in fiscal Q3 2022, against a decline of 20.0% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $350 million (Q2 2026), $231.9 million (Q1 2026) and $243.2 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 2.50 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 706.67 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 1.24 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 1.74 Bn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 601.53 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 1.92 Bn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 41.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 294.43 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | 8.86 Bn |
| 10 | Abm Industries | 2.82 Bn | 2.41 Bn | 286.10 Mn | 328.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 328.50 Mn |
| Apr 30, 2026 | 350.00 Mn |
| Jan 31, 2026 | 231.90 Mn |
| Oct 31, 2025 | 243.20 Mn |
| Jul 31, 2025 | 255.60 Mn |
| Apr 30, 2025 | 256.20 Mn |
| Jan 31, 2025 | 268.90 Mn |
| Oct 31, 2024 | 282.40 Mn |
| Jul 31, 2024 | 296.10 Mn |
| Apr 30, 2024 | 274.80 Mn |
| Jan 31, 2024 | 288.50 Mn |
| Oct 31, 2023 | 302.90 Mn |
| Jul 31, 2023 | 321.50 Mn |
| Apr 30, 2023 | 340.80 Mn |
| Jan 31, 2023 | 360.10 Mn |
| Oct 31, 2022 | 378.50 Mn |
| Jul 31, 2022 | 381.50 Mn |
| Apr 30, 2022 | 399.50 Mn |
| Jan 31, 2022 | 407.30 Mn |
| Oct 31, 2021 | 424.80 Mn |
Abm Industries Intangibles 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=intangibles&ticker=ABM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=ABM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();