Applied Industrial Technologies (AIT) Cash & Equivalents (2009 - 2025)
Applied Industrial Technologies' Cash & Equivalents was $418.72 million in fiscal Q1 2026 (quarter ended Sep 30, 2025), up 7.8% from the prior quarter.
Applied Industrial Technologies (AIT) Cash & Equivalents (2009 - 2025) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Cash & Equivalents at Applied Industrial Technologies came in at $388.42 million.
- Cash & Equivalents shows a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- The fiscal Q1 2026 figure marks the highest quarterly Cash & Equivalents in data going back to fiscal Q1 2010.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 70.32 Bn | 69.44 Bn | 2.05 Bn | 153.00 Mn |
| 2 | W.W. Grainger | 68.06 Bn | 65.42 Bn | 2.01 Bn | 768.00 Mn |
| 3 | Fastenal | 62.73 Bn | 61.73 Bn | 1.10 Bn | 211.90 Mn |
| 4 | Ferguson Enterprises | 50.77 Bn | 47.99 Bn | 2.32 Bn | 820.00 Mn |
| 5 | Sunbelt Rentals Holdings | 33.62 Bn | 33.50 Bn | 1.25 Bn | 32.00 Mn |
| 6 | Reliance | 21.51 Bn | 20.57 Bn | 1.45 Bn | 246.00 Mn |
| 7 | Wesco International | 15.41 Bn | 12.46 Bn | 1.57 Bn | 842.50 Mn |
| 8 | Watsco | 12.14 Bn | 9.83 Bn | 578.93 Mn | 364.19 Mn |
| 9 | Applied Industrial Technologies | 10.93 Bn | 10.82 Bn | 392.21 Mn | - |
| 10 | Avantor | 10.79 Bn | 9.37 Bn | 534.80 Mn | 464.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 418.72 Mn |
| Jun 30, 2025 | 388.42 Mn |
| Jun 30, 2020 | 268.55 Mn |
| Jun 30, 2019 | 108.22 Mn |
| Jun 30, 2018 | 54.15 Mn |
| Jun 30, 2017 | 105.06 Mn |
| Mar 31, 2011 | 88.56 Mn |
| Dec 31, 2010 | 53.92 Mn |
| Sep 30, 2010 | 94.59 Mn |
| Jun 30, 2010 | 175.78 Mn |
| Mar 31, 2010 | 156.27 Mn |
| Dec 31, 2009 | 104.20 Mn |
| Sep 30, 2009 | 65.69 Mn |
Applied Industrial Technologies 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=AIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "AIT", "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=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();