Applied Industrial Technologies (AIT) EV to EBITDA (2010 - 2026)
Applied Industrial Technologies' (AIT) EV to EBITDA came in at 20.02 for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 33.0% from 15.05 a year earlier and up 22.9% from the prior quarter.
Applied Industrial Technologies (AIT) EV to EBITDA (2010 - 2026) Analysis & Trends
Since fiscal Q4 2010, Applied Industrial Technologies has reported EV to EBITDA for 65 quarters.
- Annual EV to EBITDA has increased for four consecutive fiscal years.
- In prior fiscal years, Applied Industrial Technologies' EV to EBITDA was 15.05 in FY2025 (+18.0%), 12.75 in FY2024 (+27.7%), 9.99 in FY2023 (+16.8%) and 8.55 in FY2022 (-31.4%).
- The fiscal Q4 2026 figure stands as the highest quarterly EV to EBITDA since fiscal Q2 2021.
- On a year-over-year basis, EV to EBITDA increased in seven of the last eight quarters, with growth averaging 20.1%.
- The strongest year-over-year quarter for EV to EBITDA in the past five years was fiscal Q1 2025, with growth of 42.5%; the weakest was fiscal Q2 2022, with a decline of 69.7%.
- According to Business Quant data, EV to EBITDA for the three prior fiscal quarters was 16.29 (Q3 2026), 15.72 (Q2 2026) and 16.31 (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn |
| 10 | Core & Main | 7.82 Bn | 7.12 Bn | 573.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.02 |
| Mar 31, 2026 | 16.29 |
| Dec 31, 2025 | 15.72 |
| Sep 30, 2025 | 16.31 |
| Jun 30, 2025 | 15.05 |
| Mar 31, 2025 | 14.70 |
| Dec 31, 2024 | 16.23 |
| Sep 30, 2024 | 14.86 |
| Jun 30, 2024 | 12.75 |
| Mar 31, 2024 | 13.38 |
| Dec 31, 2023 | 11.56 |
| Sep 30, 2023 | 10.42 |
| Jun 30, 2023 | 9.99 |
| Mar 31, 2023 | 10.44 |
| Dec 31, 2022 | 9.84 |
| Sep 30, 2022 | 8.62 |
| Jun 30, 2022 | 8.55 |
| Mar 31, 2022 | 9.81 |
| Dec 31, 2021 | 10.48 |
| Sep 30, 2021 | 11.44 |
Applied Industrial Technologies EV to EBITDA 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=ev-to-ebitda&ticker=AIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();