Applied Industrial Technologies (AIT) Revenue (2009 - 2026)
Applied Industrial Technologies (AIT) posted Revenue of $1.35 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 10.4% from $1.22 billion a year earlier and up 8.1% from the prior quarter.
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Analysis
Applied Industrial Technologies (AIT) Revenue (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Applied Industrial Technologies' Revenue came in at $4.97 billion, up 8.8% from FY2025.
- Annual Revenue has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 8.9% (FY2021 to FY2026).
- In prior fiscal years, Applied Industrial Technologies' Revenue was $4.56 billion in FY2025 (+1.9%), $4.48 billion in FY2024 (+1.5%), $4.41 billion in FY2023 (+15.8%) and $3.81 billion in FY2022 (+17.8%).
- The fiscal Q4 2026 figure stands as the highest quarterly Revenue in data going back to fiscal Q1 2010.
- On a year-over-year basis, Revenue has increased in each of the last six quarters, with growth averaging 5.3% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was fiscal Q2 2023, with growth of 20.9%; the weakest was fiscal Q2 2025, with a decline of 0.4%.
- According to Business Quant data, Revenue for the three prior fiscal quarters was $1.25 billion (Q3 2026), $1.16 billion (Q2 2026) and $1.2 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 64.44 Bn | 63.20 Bn | 1.73 Bn | 4.41 Bn |
| 2 | W.W. Grainger | 60.37 Bn | 58.35 Bn | 1.98 Bn | 5.02 Bn |
| 3 | Fastenal | 57.63 Bn | 56.55 Bn | 1.06 Bn | 2.39 Bn |
| 4 | Ferguson Enterprises | 43.02 Bn | 40.24 Bn | 2.32 Bn | 7.47 Bn |
| 5 | Sunbelt Rentals Holdings | 31.00 Bn | 30.88 Bn | 1.25 Bn | 3.12 Bn |
| 6 | Reliance | 20.06 Bn | 19.10 Bn | 1.30 Bn | 4.63 Bn |
| 7 | Wesco International | 18.10 Bn | 15.41 Bn | 1.46 Bn | 6.67 Bn |
| 8 | Applied Industrial Technologies | 12.49 Bn | 12.37 Bn | 411.22 Mn | 1.35 Bn |
| 9 | Watsco | 10.72 Bn | 8.88 Bn | 578.93 Mn | 2.10 Bn |
| 10 | Avantor | 10.17 Bn | 8.97 Bn | 537.00 Mn | 1.69 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.35 Bn |
| Mar 31, 2026 | 1.25 Bn |
| Dec 31, 2025 | 1.16 Bn |
| Sep 30, 2025 | 1.20 Bn |
| Jun 30, 2025 | 1.22 Bn |
| Mar 31, 2025 | 1.17 Bn |
| Dec 31, 2024 | 1.07 Bn |
| Sep 30, 2024 | 1.10 Bn |
| Jun 30, 2024 | 1.16 Bn |
| Mar 31, 2024 | 1.15 Bn |
| Dec 31, 2023 | 1.08 Bn |
| Sep 30, 2023 | 1.10 Bn |
| Jun 30, 2023 | 1.16 Bn |
| Mar 31, 2023 | 1.13 Bn |
| Dec 31, 2022 | 1.06 Bn |
| Sep 30, 2022 | 1.06 Bn |
| Jun 30, 2022 | 1.06 Bn |
| Mar 31, 2022 | 980.66 Mn |
| Dec 31, 2021 | 876.87 Mn |
| Sep 30, 2021 | 891.68 Mn |
API Access
Applied Industrial Technologies Revenue 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=revenue&ticker=AIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();