Applied Industrial Technologies (AIT) Net of Acquisitions & Divestments (2010 - 2026)
Analysis
Applied Industrial Technologies (AIT) Net of Acquisitions & Divestments (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 66.45 Bn | 65.21 Bn | 1.73 Bn | -4.00 Mn |
| 2 | W.W. Grainger | 62.58 Bn | 60.18 Bn | 1.98 Bn | - |
| 3 | Fastenal | 59.02 Bn | 57.94 Bn | 1.06 Bn | - |
| 4 | Ferguson Enterprises | 43.33 Bn | 40.54 Bn | 2.32 Bn | -10.00 Mn |
| 5 | Sunbelt Rentals Holdings | 31.82 Bn | 31.70 Bn | 1.25 Bn | -667.00 Mn |
| 6 | Reliance | 20.64 Bn | 19.68 Bn | 1.30 Bn | - |
| 7 | Wesco International | 17.76 Bn | 15.08 Bn | 1.46 Bn | - |
| 8 | Applied Industrial Technologies | 12.45 Bn | 12.32 Bn | 411.22 Mn | 1,000.00 |
| 9 | Watsco | 11.13 Bn | 8.82 Bn | 578.93 Mn | 7.66 Mn |
| 10 | Avantor | 10.53 Bn | 9.33 Bn | 537.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,000.00 |
| Mar 31, 2026 | -9.00 Mn |
| Dec 31, 2025 | -145,000.00 |
| Sep 30, 2025 | -2.28 Mn |
| Jun 30, 2025 | -20.09 Mn |
| Mar 31, 2025 | -170,000.00 |
| Dec 31, 2024 | -262.64 Mn |
| Sep 30, 2024 | -10.50 Mn |
| Jun 30, 2024 | -50.65 Mn |
| Sep 30, 2023 | -21.44 Mn |
| Jun 30, 2023 | -118,000.00 |
| Mar 31, 2023 | -10.15 Mn |
| Dec 31, 2022 | -25.52 Mn |
| Jun 30, 2022 | 10,000.00 |
| Dec 31, 2021 | 120,000.00 |
| Sep 30, 2021 | -7.09 Mn |
| Jun 30, 2021 | -207,000.00 |
| Mar 31, 2021 | 1.06 Mn |
| Dec 31, 2020 | -31.08 Mn |
| Mar 31, 2020 | -847,000.00 |
API Access
Applied Industrial Technologies Net of Acquisitions & Divestments 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=net-of-acquisitions-and-divestments&ticker=AIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-of-acquisitions-and-divestments", "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=net-of-acquisitions-and-divestments&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();