Applied Industrial Technologies (AIT) Net Income (2009 - 2026)
Applied Industrial Technologies (AIT) recorded Net Income of $118.6 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 10.0% from $107.84 million a year earlier and up 18.9% from the prior quarter.
Applied Industrial Technologies (AIT) Net Income (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Applied Industrial Technologies reported Net Income of $414.53 million, up 5.5% from FY2025.
- Annual Net Income has increased for six straight fiscal years, with a five-year compound annual growth rate of 23.4% (FY2021 to FY2026).
- Across earlier fiscal years, Net Income came in at $392.99 million in FY2025 (+1.9%), $385.76 million in FY2024 (+11.3%), $346.74 million in FY2023 (+34.7%) and $257.41 million in FY2022 (+77.8%).
- The fiscal Q4 2026 figure is the highest quarterly Net Income in data going back to fiscal Q1 2010.
- On a year-over-year basis, Net Income rose in six of the last eight quarters, with growth averaging 3.6%.
- Peak year-over-year performance for Net Income in the last five years was growth of 52.3% in fiscal Q1 2022, against a decline of 1.9% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $99.77 million (Q3 2026), $95.35 million (Q2 2026) and $100.81 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 58.68 Bn | 56.66 Bn | 1.98 Bn | 600.00 Mn |
| 2 | Fastenal | 56.84 Bn | 55.76 Bn | 1.06 Bn | 382.80 Mn |
| 3 | Ferguson Enterprises | 43.23 Bn | 40.45 Bn | 2.32 Bn | 414.00 Mn |
| 4 | Sunbelt Rentals Holdings | 30.01 Bn | 29.89 Bn | 1.25 Bn | 438.00 Mn |
| 5 | Reliance | 19.64 Bn | 18.69 Bn | 1.30 Bn | 323.60 Mn |
| 6 | Wesco International | 17.52 Bn | 14.83 Bn | 1.46 Bn | 209.60 Mn |
| 7 | Applied Industrial Technologies | 12.22 Bn | 12.09 Bn | 411.22 Mn | 118.60 Mn |
| 8 | Watsco | 10.77 Bn | 8.93 Bn | 578.93 Mn | 191.30 Mn |
| 9 | Avantor | 10.19 Bn | 8.98 Bn | 537.00 Mn | 38.10 Mn |
| 10 | Core & Main | 7.65 Bn | 6.95 Bn | 573.00 Mn | 150.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 118.60 Mn |
| Mar 31, 2026 | 99.77 Mn |
| Dec 31, 2025 | 95.35 Mn |
| Sep 30, 2025 | 100.81 Mn |
| Jun 30, 2025 | 107.84 Mn |
| Mar 31, 2025 | 99.80 Mn |
| Dec 31, 2024 | 93.29 Mn |
| Sep 30, 2024 | 92.06 Mn |
| Jun 30, 2024 | 103.49 Mn |
| Mar 31, 2024 | 97.22 Mn |
| Dec 31, 2023 | 91.23 Mn |
| Sep 30, 2023 | 93.83 Mn |
| Jun 30, 2023 | 92.22 Mn |
| Mar 31, 2023 | 97.19 Mn |
| Dec 31, 2022 | 80.46 Mn |
| Sep 30, 2022 | 76.88 Mn |
| Jun 30, 2022 | 79.11 Mn |
| Mar 31, 2022 | 68.31 Mn |
| Dec 31, 2021 | 57.03 Mn |
| Sep 30, 2021 | 52.97 Mn |
Applied Industrial Technologies Net 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=net-income&ticker=AIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-income&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();