Applied Industrial Technologies (AIT) EBT (2009 - 2026)
Applied Industrial Technologies (AIT) reported EBT of $157.79 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 16.8% from $135.04 million a year earlier and up 16.8% from the prior quarter.
Applied Industrial Technologies (AIT) EBT (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Applied Industrial Technologies posted EBT of $544.27 million, up 8.6% from FY2025.
- EBT has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 25.2% (FY2021 to FY2026).
- By fiscal year, EBT came in at $500.97 million in FY2025 (+0.6%), $498.13 million in FY2024 (+10.7%), $449.81 million in FY2023 (+36.4%) and $329.79 million in FY2022 (+86.3%).
- The fiscal Q4 2026 figure ranks as the highest quarterly EBT in data going back to fiscal Q1 2010.
- Year over year, EBT has now increased in each of the last four quarters, with growth averaging 4.6% over the last eight quarters.
- The high point for year-over-year EBT in five years was fiscal Q1 2022 (growth of 50.6%); the low point was fiscal Q4 2025 (a decline of 4.2%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $135.13 million (Q3 2026), $122.77 million (Q2 2026) and $128.59 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | 798.00 Mn |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | 502.10 Mn |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | 560.00 Mn |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | 591.00 Mn |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | 429.80 Mn |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 272.00 Mn |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 157.79 Mn |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | 241.87 Mn |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | 81.20 Mn |
| 10 | Core & Main | 7.82 Bn | 7.12 Bn | 573.00 Mn | 193.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 157.79 Mn |
| Mar 31, 2026 | 135.13 Mn |
| Dec 31, 2025 | 122.77 Mn |
| Sep 30, 2025 | 128.59 Mn |
| Jun 30, 2025 | 135.04 Mn |
| Mar 31, 2025 | 127.28 Mn |
| Dec 31, 2024 | 122.56 Mn |
| Sep 30, 2024 | 116.08 Mn |
| Jun 30, 2024 | 140.94 Mn |
| Mar 31, 2024 | 122.67 Mn |
| Dec 31, 2023 | 115.60 Mn |
| Sep 30, 2023 | 118.93 Mn |
| Jun 30, 2023 | 122.54 Mn |
| Mar 31, 2023 | 122.28 Mn |
| Dec 31, 2022 | 105.95 Mn |
| Sep 30, 2022 | 99.04 Mn |
| Jun 30, 2022 | 100.69 Mn |
| Mar 31, 2022 | 89.52 Mn |
| Dec 31, 2021 | 72.04 Mn |
| Sep 30, 2021 | 67.54 Mn |
Applied Industrial Technologies EBT 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=ebt&ticker=AIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();