Applied Industrial Technologies (AIT) EV to EBITDA (2010 - 2026)
Applied Industrial Technologies' (AIT) EV to EBITDA came in at 19.08 for fiscal Q1 2027 (quarter ended Sep 30, 2026), up 17.0% from 16.31 a year earlier but down 4.7% from the prior quarter.
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Analysis
Applied Industrial Technologies (AIT) EV to EBITDA (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Applied Industrial Technologies' EV to EBITDA stood at 20.02, up 33.0% from FY2025.
- 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%).
- Quarterly EV to EBITDA has run from a low of 8.55 in fiscal Q4 2022 to a high of 20.02 in fiscal Q4 2026 over five years.
- On a year-over-year basis, EV to EBITDA has increased in each of the last three quarters, with growth averaging 17.0% over the last eight quarters.
- 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 20.02 (Q4 2026), 16.29 (Q3 2026) and 15.72 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | United Rentals | 70.32 Bn | 69.44 Bn | 2.05 Bn |
| 2 | W.W. Grainger | 68.06 Bn | 65.42 Bn | 2.01 Bn |
| 3 | Fastenal | 62.73 Bn | 61.73 Bn | 1.10 Bn |
| 4 | Ferguson Enterprises | 50.77 Bn | 47.99 Bn | 2.32 Bn |
| 5 | Sunbelt Rentals Holdings | 33.62 Bn | 33.50 Bn | 1.25 Bn |
| 6 | Reliance | 21.51 Bn | 20.57 Bn | 1.45 Bn |
| 7 | Wesco International | 15.41 Bn | 12.46 Bn | 1.57 Bn |
| 8 | Watsco | 12.14 Bn | 9.83 Bn | 578.93 Mn |
| 9 | Applied Industrial Technologies | 10.93 Bn | 10.82 Bn | 392.21 Mn |
| 10 | Avantor | 10.79 Bn | 9.37 Bn | 534.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 19.08 |
| 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 |
API Access
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_KEYimport 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();