Applied Industrial Technologies (AIT) Selling, General & Administrative (2009 - 2026)
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Analysis
Applied Industrial Technologies (AIT) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.74 Bn | 59.53 Bn | 1.98 Bn | 1.18 Bn |
| 2 | Fastenal | 57.47 Bn | 57.26 Bn | 1.06 Bn | 561.80 Mn |
| 3 | Ferguson Enterprises | 42.93 Bn | 42.11 Bn | 2.32 Bn | 1.61 Bn |
| 4 | Sunbelt Rentals Holdings | 31.01 Bn | 30.98 Bn | 1.25 Bn | 443.00 Mn |
| 5 | Reliance | 19.76 Bn | 19.53 Bn | 1.30 Bn | 789.40 Mn |
| 6 | Wesco International | 17.65 Bn | 16.83 Bn | 1.46 Bn | 1.02 Bn |
| 7 | Applied Industrial Technologies | 12.14 Bn | 12.02 Bn | 411.22 Mn | 251.91 Mn |
| 8 | Watsco | 11.58 Bn | 11.60 Bn | 578.93 Mn | 348.99 Mn |
| 9 | Avantor | 10.11 Bn | 9.80 Bn | 537.00 Mn | 415.20 Mn |
| 10 | Core & Main | 7.93 Bn | 7.69 Bn | 573.00 Mn | 301.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 251.91 Mn |
| Mar 31, 2026 | 242.88 Mn |
| Dec 31, 2025 | 230.13 Mn |
| Sep 30, 2025 | 232.40 Mn |
| Jun 30, 2025 | 239.65 Mn |
| Mar 31, 2025 | 225.89 Mn |
| Dec 31, 2024 | 207.18 Mn |
| Sep 30, 2024 | 211.91 Mn |
| Jun 30, 2024 | 216.89 Mn |
| Mar 31, 2024 | 217.04 Mn |
| Dec 31, 2023 | 202.50 Mn |
| Sep 30, 2023 | 204.40 Mn |
| Jun 30, 2023 | 211.74 Mn |
| Mar 31, 2023 | 206.21 Mn |
| Dec 31, 2022 | 195.61 Mn |
| Sep 30, 2022 | 200.25 Mn |
| Jun 30, 2022 | 197.40 Mn |
| Mar 31, 2022 | 191.48 Mn |
| Dec 31, 2021 | 179.45 Mn |
| Sep 30, 2021 | 180.73 Mn |
API Access
Applied Industrial Technologies Selling, General & Administrative 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=selling-general-and-administrative&ticker=AIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();