Applied Industrial Technologies (AIT) EBITDA (2009 - 2026)
Applied Industrial Technologies (AIT) recorded EBITDA of $159.88 million in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 9.7% from $145.72 million a year earlier but down 8.9% from the prior quarter.
Applied Industrial Technologies (AIT) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Applied Industrial Technologies' EBITDA came in at $629.58 million as of Sep 30, 2026, up 8.9% year-over-year; for FY2026 (ended Jun 30, 2026), it came in at $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%).
- Quarterly EBITDA has ranged from $91.7 million in fiscal Q2 2022 to $175.57 million in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, EBITDA has increased for five consecutive quarters, with growth averaging 8.0% 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 $175.57 million (Q4 2026), $154.21 million (Q3 2026) and $139.93 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 71.04 Bn | 70.16 Bn | 2.05 Bn | 1.53 Bn |
| 2 | W.W. Grainger | 68.63 Bn | 65.99 Bn | 2.01 Bn | 895.00 Mn |
| 3 | Fastenal | 62.75 Bn | 61.74 Bn | 1.10 Bn | 575.70 Mn |
| 4 | Ferguson Enterprises | 51.09 Bn | 48.31 Bn | 2.32 Bn | 709.00 Mn |
| 5 | Sunbelt Rentals Holdings | 33.50 Bn | 33.38 Bn | 1.25 Bn | 1.28 Bn |
| 6 | Reliance | 21.41 Bn | 20.47 Bn | 1.45 Bn | 622.20 Mn |
| 7 | Wesco International | 15.56 Bn | 12.61 Bn | 1.57 Bn | 516.00 Mn |
| 8 | Watsco | 12.09 Bn | 9.78 Bn | 578.93 Mn | 249.30 Mn |
| 9 | Applied Industrial Technologies | 10.90 Bn | 10.78 Bn | 392.21 Mn | 159.88 Mn |
| 10 | Avantor | 10.66 Bn | 9.25 Bn | 534.80 Mn | 246.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 159.88 Mn |
| 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 |
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();