Applied Industrial Technologies (AIT) Operating Expenses (2009 - 2026)
Applied Industrial Technologies' Operating Expenses was $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.
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Analysis
Applied Industrial Technologies (AIT) Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Operating Expenses at Applied Industrial Technologies came in at $957.32 million, up 8.2% from FY2025.
- Operating Expenses has now increased for five consecutive fiscal years, with a five-year compound annual growth rate of 7.1% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $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 marks the highest quarterly Operating Expenses in data going back to fiscal Q1 2010.
- Compared with a year earlier, Operating Expenses has increased for 21 straight quarters, with growth averaging 6.7% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Expenses ran from 2.1% in fiscal Q1 2024 to 11.1% in fiscal Q2 2026.
- Per Business Quant data, AIT's Operating Expenses in the three fiscal quarters before Q4 2026 was $242.88 million (Q3 2026), $230.13 million (Q2 2026) and $232.4 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 66.45 Bn | 65.21 Bn | 1.73 Bn | 1.18 Bn |
| 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 | 989.00 Mn |
| 6 | Reliance | 20.64 Bn | 19.68 Bn | 1.30 Bn | 4.19 Bn |
| 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
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 Operating Expenses 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=operating-expenses&ticker=AIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();