Applied Industrial Technologies (AIT) Cost of Revenue (2009 - 2026)
Applied Industrial Technologies (AIT) reported Cost of Revenue of $941.47 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 10.8% from $849.99 million a year earlier and up 8.1% from the prior quarter.
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Analysis
Applied Industrial Technologies (AIT) Cost of Revenue (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Applied Industrial Technologies posted Cost of Revenue of $3.46 billion, up 8.8% from FY2025.
- Cost of Revenue has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 8.5% (FY2021 to FY2026).
- By fiscal year, Cost of Revenue came in at $3.18 billion in FY2025 (+1.2%), $3.14 billion in FY2024 (+0.5%), $3.13 billion in FY2023 (+15.6%) and $2.7 billion in FY2022 (+17.5%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Cost of Revenue in data going back to fiscal Q1 2010.
- Year over year, Cost of Revenue has now increased in each of the last six quarters, with growth averaging 5.0% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was fiscal Q2 2023 (growth of 21.4%); the low point was fiscal Q2 2025 (a decline of 2.0%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $870.65 million (Q3 2026), $809.69 million (Q2 2026) and $838.09 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 66.45 Bn | 65.21 Bn | 1.73 Bn | 2.68 Bn |
| 2 | W.W. Grainger | 62.58 Bn | 60.18 Bn | 1.98 Bn | 3.04 Bn |
| 3 | Fastenal | 59.02 Bn | 57.94 Bn | 1.06 Bn | 1.32 Bn |
| 4 | Ferguson Enterprises | 43.33 Bn | 40.54 Bn | 2.32 Bn | 5.15 Bn |
| 5 | Sunbelt Rentals Holdings | 31.82 Bn | 31.70 Bn | 1.25 Bn | 1.87 Bn |
| 6 | Reliance | 20.64 Bn | 19.68 Bn | 1.30 Bn | 3.33 Bn |
| 7 | Wesco International | 17.76 Bn | 15.08 Bn | 1.46 Bn | 5.21 Bn |
| 8 | Applied Industrial Technologies | 12.45 Bn | 12.32 Bn | 411.22 Mn | 941.47 Mn |
| 9 | Watsco | 11.13 Bn | 8.82 Bn | 578.93 Mn | 1.53 Bn |
| 10 | Avantor | 10.53 Bn | 9.33 Bn | 537.00 Mn | 1.16 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 941.47 Mn |
| Mar 31, 2026 | 870.65 Mn |
| Dec 31, 2025 | 809.69 Mn |
| Sep 30, 2025 | 838.09 Mn |
| Jun 30, 2025 | 849.99 Mn |
| Mar 31, 2025 | 811.46 Mn |
| Dec 31, 2024 | 744.95 Mn |
| Sep 30, 2024 | 773.86 Mn |
| Jun 30, 2024 | 804.44 Mn |
| Mar 31, 2024 | 808.14 Mn |
| Dec 31, 2023 | 760.06 Mn |
| Sep 30, 2023 | 770.11 Mn |
| Jun 30, 2023 | 819.52 Mn |
| Mar 31, 2023 | 798.92 Mn |
| Dec 31, 2022 | 751.78 Mn |
| Sep 30, 2022 | 755.62 Mn |
| Jun 30, 2022 | 754.83 Mn |
| Mar 31, 2022 | 693.34 Mn |
| Dec 31, 2021 | 619.25 Mn |
| Sep 30, 2021 | 636.34 Mn |
API Access
Applied Industrial Technologies Cost of 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=cost-of-revenue&ticker=AIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();