Applied Industrial Technologies (AIT) Return on Sales [ROS] (2009 - 2026)
Applied Industrial Technologies' Return on Sales [ROS] came in at 11.78% for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 0.75 percentage points from 11.03% a year earlier and up 0.76 percentage points from the prior quarter.
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Analysis
Applied Industrial Technologies (AIT) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Applied Industrial Technologies' Return on Sales [ROS] was 11.06%, up 0.14 percentage points from FY2025.
- Return on Sales [ROS] carries a five-year change of +4.71 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Sales [ROS] was 10.92% in FY2025 (-0.14 pp), 11.07% in FY2024 (+0.35 pp), 10.72% in FY2023 (+1.33 pp) and 9.39% in FY2022 (+3.04 pp).
- The fiscal Q4 2026 figure represents the highest quarterly Return on Sales [ROS] since fiscal Q4 2024.
- Year-over-year, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of -0.01 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q2 2022 (a gain of 9.24 percentage points), and the weakest in fiscal Q4 2025 (a drop of 0.98 percentage points).
- Business Quant data shows AIT's Return on Sales [ROS] at 11.02% (Q3 2026), 10.59% (Q2 2026) and 10.76% (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 67.37 Bn | 66.13 Bn | 1.73 Bn | 25.80% |
| 2 | W.W. Grainger | 60.32 Bn | 58.30 Bn | 1.98 Bn | 16.07% |
| 3 | Fastenal | 58.24 Bn | 57.16 Bn | 1.06 Bn | 21.02% |
| 4 | Ferguson Enterprises | 43.34 Bn | 40.56 Bn | 2.32 Bn | 8.19% |
| 5 | Sunbelt Rentals Holdings | 31.62 Bn | 31.50 Bn | 1.25 Bn | 22.18% |
| 6 | Reliance | 20.43 Bn | 19.48 Bn | 1.30 Bn | 9.54% |
| 7 | Wesco International | 18.60 Bn | 15.91 Bn | 1.46 Bn | 5.73% |
| 8 | Applied Industrial Technologies | 12.64 Bn | 12.52 Bn | 411.22 Mn | 11.78% |
| 9 | Watsco | 10.59 Bn | 8.75 Bn | 578.93 Mn | 11.32% |
| 10 | Avantor | 10.38 Bn | 9.17 Bn | 537.00 Mn | 7.20% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.78% |
| Mar 31, 2026 | 11.02% |
| Dec 31, 2025 | 10.59% |
| Sep 30, 2025 | 10.76% |
| Jun 30, 2025 | 11.03% |
| Mar 31, 2025 | 11.09% |
| Dec 31, 2024 | 11.26% |
| Sep 30, 2024 | 10.30% |
| Jun 30, 2024 | 12.01% |
| Mar 31, 2024 | 10.57% |
| Dec 31, 2023 | 10.64% |
| Sep 30, 2023 | 11.02% |
| Jun 30, 2023 | 10.95% |
| Mar 31, 2023 | 11.21% |
| Dec 31, 2022 | 10.65% |
| Sep 30, 2022 | 10.03% |
| Jun 30, 2022 | 10.29% |
| Mar 31, 2022 | 9.77% |
| Dec 31, 2021 | 8.92% |
| Sep 30, 2021 | 8.37% |
API Access
Applied Industrial Technologies Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=AIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();