Applied Industrial Technologies (AIT) Selling, General & Administrative (2009 - 2026)
Applied Industrial Technologies (AIT) recorded Selling, General & Administrative of $251.91 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 5.1% from $239.65 million a year earlier and up 3.7% from the prior quarter.
Applied Industrial Technologies (AIT) Selling, General & Administrative (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Applied Industrial Technologies reported Selling, General & Administrative of $957.32 million, up 8.2% from FY2025.
- Annual Selling, General & Administrative has increased for five straight fiscal years, with a five-year compound annual growth rate of 7.1% (FY2021 to FY2026).
- Across earlier fiscal years, Selling, General & Administrative came in at $884.63 million in FY2025 (+5.2%), $840.83 million in FY2024 (+3.3%), $813.81 million in FY2023 (+8.6%) and $749.06 million in FY2022 (+10.1%).
- The fiscal Q4 2026 figure is the highest quarterly Selling, General & Administrative in data going back to fiscal Q2 2010.
- On a year-over-year basis, Selling, General & Administrative has increased for 21 consecutive quarters, with growth averaging 6.7% over the last eight quarters.
- The year-over-year growth in Selling, General & Administrative has ranged between 2.1% (fiscal Q1 2024) and 11.1% (fiscal Q2 2026) over the last five years.
- Per Business Quant, the preceding three fiscal quarters came in at $242.88 million (Q3 2026), $230.13 million (Q2 2026) and $232.4 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 66.45 Bn | 65.21 Bn | 1.73 Bn | 472.00 Mn |
| 2 | W.W. Grainger | 62.58 Bn | 60.18 Bn | 1.98 Bn | 1.18 Bn |
| 3 | Fastenal | 59.02 Bn | 57.94 Bn | 1.06 Bn | 561.80 Mn |
| 4 | Ferguson Enterprises | 43.33 Bn | 40.54 Bn | 2.32 Bn | 1.61 Bn |
| 5 | Sunbelt Rentals Holdings | 31.82 Bn | 31.70 Bn | 1.25 Bn | 443.00 Mn |
| 6 | Reliance | 20.64 Bn | 19.68 Bn | 1.30 Bn | 789.40 Mn |
| 7 | Wesco International | 17.76 Bn | 15.08 Bn | 1.46 Bn | 1.02 Bn |
| 8 | Applied Industrial Technologies | 12.45 Bn | 12.32 Bn | 411.22 Mn | 251.91 Mn |
| 9 | Watsco | 11.13 Bn | 8.82 Bn | 578.93 Mn | 348.99 Mn |
| 10 | Avantor | 10.53 Bn | 9.33 Bn | 537.00 Mn | 415.20 Mn |
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 |
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_KEY
import 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();