Applied Industrial Technologies (AIT) EBIT (2009 - 2026)
Applied Industrial Technologies (AIT) posted EBIT of $159.31 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 17.9% from $135.09 million a year earlier and up 15.5% from the prior quarter.
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Analysis
Applied Industrial Technologies (AIT) EBIT (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Applied Industrial Technologies' EBIT came in at $549.47 million, up 10.2% from FY2025.
- Annual EBIT has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 21.7% (FY2021 to FY2026).
- In prior fiscal years, Applied Industrial Technologies' EBIT was $498.53 million in FY2025 (+0.5%), $495.82 million in FY2024 (+4.8%), $473.15 million in FY2023 (+32.2%) and $357.86 million in FY2022 (+74.2%).
- The fiscal Q4 2026 figure stands as the highest quarterly EBIT in data going back to fiscal Q1 2010.
- On a year-over-year basis, EBIT has increased in each of the last four quarters, with growth averaging 5.4% over the last eight quarters.
- The strongest year-over-year quarter for EBIT in the past five years was fiscal Q2 2023, with growth of 44.4%; the weakest was fiscal Q1 2025, with a decline of 6.2%.
- According to Business Quant data, EBIT for the three prior fiscal quarters was $137.93 million (Q3 2026), $123.21 million (Q2 2026) and $129.03 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | 807.00 Mn |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | 501.80 Mn |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | 612.00 Mn |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | 691.00 Mn |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | 441.60 Mn |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 382.20 Mn |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 159.31 Mn |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | 238.37 Mn |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | 121.80 Mn |
| 10 | Core & Main | 7.82 Bn | 7.12 Bn | 573.00 Mn | 227.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 159.31 Mn |
| Mar 31, 2026 | 137.93 Mn |
| Dec 31, 2025 | 123.21 Mn |
| Sep 30, 2025 | 129.03 Mn |
| Jun 30, 2025 | 135.09 Mn |
| Mar 31, 2025 | 129.40 Mn |
| Dec 31, 2024 | 120.87 Mn |
| Sep 30, 2024 | 113.17 Mn |
| Jun 30, 2024 | 139.34 Mn |
| Mar 31, 2024 | 121.21 Mn |
| Dec 31, 2023 | 114.59 Mn |
| Sep 30, 2023 | 120.68 Mn |
| Jun 30, 2023 | 126.82 Mn |
| Mar 31, 2023 | 126.91 Mn |
| Dec 31, 2022 | 112.89 Mn |
| Sep 30, 2022 | 106.53 Mn |
| Jun 30, 2022 | 109.22 Mn |
| Mar 31, 2022 | 95.84 Mn |
| Dec 31, 2021 | 78.18 Mn |
| Sep 30, 2021 | 74.61 Mn |
API Access
Applied Industrial Technologies EBIT 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=ebit&ticker=AIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();