Applied Industrial Technologies (AIT) EBITDA (2009 - 2026)
Applied Industrial Technologies (AIT) recorded EBITDA of $175.57 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 15.7% from $151.75 million a year earlier and up 13.9% from the prior quarter.
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Analysis
Applied Industrial Technologies (AIT) EBITDA (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Applied Industrial Technologies reported EBITDA of $615.42 million, up 10.1% from FY2025.
- Annual EBITDA has increased for six straight fiscal years, with a five-year compound annual growth rate of 18.8% (FY2021 to FY2026).
- Across earlier fiscal years, EBITDA came in at $559.01 million in FY2025 (+2.0%), $548.18 million in FY2024 (+4.2%), $526.22 million in FY2023 (+27.9%) and $411.41 million in FY2022 (+57.9%).
- The fiscal Q4 2026 figure is the highest quarterly EBITDA in data going back to fiscal Q1 2010.
- On a year-over-year basis, EBITDA has increased for four consecutive quarters, with growth averaging 6.1% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 728.9% in fiscal Q2 2022, against a decline of 5.3% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $154.21 million (Q3 2026), $139.93 million (Q2 2026) and $145.72 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | 873.00 Mn |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | 547.30 Mn |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | 709.00 Mn |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | 1.28 Bn |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | 511.10 Mn |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 444.90 Mn |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 175.57 Mn |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | 249.30 Mn |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | 227.40 Mn |
| 10 | Core & Main | 7.82 Bn | 7.12 Bn | 573.00 Mn | 277.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 175.57 Mn |
| Mar 31, 2026 | 154.21 Mn |
| Dec 31, 2025 | 139.93 Mn |
| Sep 30, 2025 | 145.72 Mn |
| Jun 30, 2025 | 151.75 Mn |
| Mar 31, 2025 | 146.20 Mn |
| Dec 31, 2024 | 134.36 Mn |
| Sep 30, 2024 | 126.70 Mn |
| Jun 30, 2024 | 152.53 Mn |
| Mar 31, 2024 | 133.96 Mn |
| Dec 31, 2023 | 127.90 Mn |
| Sep 30, 2023 | 133.79 Mn |
| Jun 30, 2023 | 140.10 Mn |
| Mar 31, 2023 | 140.15 Mn |
| Dec 31, 2022 | 126.26 Mn |
| Sep 30, 2022 | 119.72 Mn |
| Jun 30, 2022 | 122.47 Mn |
| Mar 31, 2022 | 109.09 Mn |
| Dec 31, 2021 | 91.70 Mn |
| Sep 30, 2021 | 88.16 Mn |
API Access
Applied Industrial Technologies 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=ebitda&ticker=AIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();