Applied Industrial Technologies (AIT) Profit After Tax (2009 - 2026)
Applied Industrial Technologies' Profit After Tax was $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) Profit After Tax (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Profit After Tax at Applied Industrial Technologies came in at $414.53 million, up 5.5% from FY2025.
- Profit After Tax has now increased for six consecutive fiscal years, with a five-year compound annual growth rate of 23.4% (FY2021 to FY2026).
- In earlier fiscal years, Profit After Tax was $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 marks the highest quarterly Profit After Tax in data going back to fiscal Q1 2010.
- Compared with a year earlier, Profit After Tax was higher in six of the last eight quarters, with growth averaging 3.6%.
- The best year-over-year quarter for Profit After Tax over five years was fiscal Q1 2022 (growth of 52.3%); the worst was fiscal Q1 2025 (a decline of 1.9%).
- Per Business Quant data, AIT's Profit After Tax in the three fiscal quarters before Q4 2026 was $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) | PAT (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 64.44 Bn | 63.20 Bn | 1.73 Bn | 753.00 Mn |
| 2 | W.W. Grainger | 60.37 Bn | 58.35 Bn | 1.98 Bn | 600.00 Mn |
| 3 | Fastenal | 57.63 Bn | 56.55 Bn | 1.06 Bn | 382.80 Mn |
| 4 | Ferguson Enterprises | 43.02 Bn | 40.24 Bn | 2.32 Bn | 414.00 Mn |
| 5 | Sunbelt Rentals Holdings | 31.00 Bn | 30.88 Bn | 1.25 Bn | 438.00 Mn |
| 6 | Reliance | 20.06 Bn | 19.10 Bn | 1.30 Bn | 323.60 Mn |
| 7 | Wesco International | 18.10 Bn | 15.41 Bn | 1.46 Bn | 209.60 Mn |
| 8 | Applied Industrial Technologies | 12.49 Bn | 12.37 Bn | 411.22 Mn | 118.60 Mn |
| 9 | Watsco | 10.72 Bn | 8.88 Bn | 578.93 Mn | 191.30 Mn |
| 10 | Avantor | 10.17 Bn | 8.97 Bn | 537.00 Mn | 38.10 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 Profit After Tax 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=profit-after-tax&ticker=AIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();