Abm Industries (ABM) Cash & Equivalents (2009 - 2026)
Abm Industries' Cash & Equivalents came in at $110.5 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 59.5% from $69.3 million a year earlier and up 16.4% from the prior quarter.
Abm Industries (ABM) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Abm Industries' Cash & Equivalents was $104.1 million, up 61.1% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -23.4% (FY2020 to FY2025).
- Going back by fiscal year, Cash & Equivalents was $64.6 million in FY2024 (-7.1%), $69.5 million in FY2023 (-4.8%), $73 million in FY2022 (+16.2%) and $62.8 million in FY2021 (-84.1%).
- The fiscal Q3 2026 figure represents the highest quarterly Cash & Equivalents since fiscal Q3 2021.
- Year-over-year, Cash & Equivalents has increased for four consecutive quarters, with growth averaging 28.0% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q1 2023 (growth of 88.6%), and the weakest in fiscal Q2 2022 (a decline of 88.8%).
- Business Quant data shows ABM's Cash & Equivalents at $94.9 million (Q2 2026), $100.4 million (Q1 2026) and $104.1 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 10.17 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 289.02 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 204.79 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 851.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 499.43 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 109.09 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 434.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 1.49 Bn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | 2.47 Bn |
| 10 | Abm Industries | 2.87 Bn | 2.46 Bn | 286.10 Mn | 110.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 110.50 Mn |
| Apr 30, 2026 | 94.90 Mn |
| Jan 31, 2026 | 100.40 Mn |
| Oct 31, 2025 | 104.10 Mn |
| Jul 31, 2025 | 69.30 Mn |
| Apr 30, 2025 | 58.70 Mn |
| Jan 31, 2025 | 59.00 Mn |
| Oct 31, 2024 | 64.60 Mn |
| Jul 31, 2024 | 86.30 Mn |
| Apr 30, 2024 | 60.70 Mn |
| Jan 31, 2024 | 58.00 Mn |
| Oct 31, 2023 | 69.50 Mn |
| Jul 31, 2023 | 97.70 Mn |
| Apr 30, 2023 | 71.20 Mn |
| Jan 31, 2023 | 87.90 Mn |
| Oct 31, 2022 | 73.00 Mn |
| Jul 31, 2022 | 63.90 Mn |
| Apr 30, 2022 | 48.90 Mn |
| Jan 31, 2022 | 46.60 Mn |
| Oct 31, 2021 | 62.80 Mn |
Abm Industries Cash & Equivalents 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=cash-and-equivalents&ticker=ABM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ABM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();