Applied Industrial Technologies (AIT) Operating Income (2009 - 2026)
Applied Industrial Technologies (AIT) recorded Operating Income of $159.31 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 17.9% from $135.09 million a year earlier and up 15.5% from the prior quarter.
Applied Industrial Technologies (AIT) Operating Income (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Applied Industrial Technologies reported Operating Income of $549.47 million, up 10.2% from FY2025.
- Annual Operating Income has increased for six straight fiscal years, with a five-year compound annual growth rate of 21.7% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Income came in at $498.53 million in FY2025 (+0.5%), $495.82 million in FY2024 (+4.8%), $473.15 million in FY2023 (+32.2%) and $357.86 million in FY2022 (+74.2%).
- The fiscal Q4 2026 figure is the highest quarterly Operating Income in data going back to fiscal Q1 2010.
- On a year-over-year basis, Operating Income has increased for four consecutive quarters, with growth averaging 5.4% over the last eight quarters.
- Peak year-over-year performance for Operating Income in the last five years was growth of 44.4% in fiscal Q2 2023, against a decline of 6.2% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $137.93 million (Q3 2026), $123.21 million (Q2 2026) and $129.03 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | 807.00 Mn |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | 501.80 Mn |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | 612.00 Mn |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | 691.00 Mn |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | 441.60 Mn |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 382.20 Mn |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 159.31 Mn |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | 238.37 Mn |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | 121.80 Mn |
| 10 | Core & Main | 7.82 Bn | 7.12 Bn | 573.00 Mn | 227.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 159.31 Mn |
| Mar 31, 2026 | 137.93 Mn |
| Dec 31, 2025 | 123.21 Mn |
| Sep 30, 2025 | 129.03 Mn |
| Jun 30, 2025 | 135.09 Mn |
| Mar 31, 2025 | 129.40 Mn |
| Dec 31, 2024 | 120.87 Mn |
| Sep 30, 2024 | 113.17 Mn |
| Jun 30, 2024 | 139.34 Mn |
| Mar 31, 2024 | 121.21 Mn |
| Dec 31, 2023 | 114.59 Mn |
| Sep 30, 2023 | 120.68 Mn |
| Jun 30, 2023 | 126.82 Mn |
| Mar 31, 2023 | 126.91 Mn |
| Dec 31, 2022 | 112.89 Mn |
| Sep 30, 2022 | 106.53 Mn |
| Jun 30, 2022 | 109.22 Mn |
| Mar 31, 2022 | 95.84 Mn |
| Dec 31, 2021 | 78.18 Mn |
| Sep 30, 2021 | 74.61 Mn |
Applied Industrial Technologies Operating Income 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-income&ticker=AIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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-income&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();