Applied Industrial Technologies (AIT) Return on Assets [ROA] (2010 - 2026)
Applied Industrial Technologies (AIT) posted Return on Assets [ROA] of 13.82% for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 1.33 percentage points from 12.49% a year earlier and up 0.69 percentage points from the prior quarter.
Applied Industrial Technologies (AIT) Return on Assets [ROA] (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Applied Industrial Technologies' Return on Assets [ROA] came in at 13.40%, up 0.58 percentage points from FY2025.
- Annual Return on Assets [ROA] shows a five-year change of +7.05 percentage points (FY2021 to FY2026).
- In prior fiscal years, Applied Industrial Technologies' Return on Assets [ROA] was 12.83% in FY2025 (-0.72 pp), 13.55% in FY2024 (+0.20 pp), 13.35% in FY2023 (+2.45 pp) and 10.90% in FY2022 (+4.54 pp).
- The fiscal Q4 2026 figure stands as the highest quarterly Return on Assets [ROA] in data going back to fiscal Q1 2011.
- On a year-over-year basis, Return on Assets [ROA] increased in two of the last eight quarters, with an average year-over-year change of -0.13 percentage points.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was fiscal Q2 2022, with a gain of 10.99 percentage points; the weakest was fiscal Q4 2025, with a drop of 0.79 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior fiscal quarters was 13.13% (Q3 2026), 12.73% (Q2 2026) and 12.63% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 58.68 Bn | 56.66 Bn | 1.98 Bn | 20.75% |
| 2 | Fastenal | 56.84 Bn | 55.76 Bn | 1.06 Bn | 25.74% |
| 3 | Ferguson Enterprises | 43.23 Bn | 40.45 Bn | 2.32 Bn | 11.44% |
| 4 | Sunbelt Rentals Holdings | 30.01 Bn | 29.89 Bn | 1.25 Bn | 6.70% |
| 5 | Reliance | 19.64 Bn | 18.69 Bn | 1.30 Bn | 8.16% |
| 6 | Wesco International | 17.52 Bn | 14.83 Bn | 1.46 Bn | 4.10% |
| 7 | Applied Industrial Technologies | 12.22 Bn | 12.09 Bn | 411.22 Mn | 13.82% |
| 8 | Watsco | 10.77 Bn | 8.93 Bn | 578.93 Mn | 11.52% |
| 9 | Avantor | 10.19 Bn | 8.98 Bn | 537.00 Mn | -4.97% |
| 10 | Core & Main | 7.65 Bn | 6.95 Bn | 573.00 Mn | 7.35% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.82% |
| Mar 31, 2026 | 13.13% |
| Dec 31, 2025 | 12.73% |
| Sep 30, 2025 | 12.63% |
| Jun 30, 2025 | 12.49% |
| Mar 31, 2025 | 12.62% |
| Dec 31, 2024 | 12.77% |
| Sep 30, 2024 | 12.90% |
| Jun 30, 2024 | 13.29% |
| Mar 31, 2024 | 13.29% |
| Dec 31, 2023 | 13.53% |
| Sep 30, 2023 | 13.24% |
| Jun 30, 2023 | 12.96% |
| Mar 31, 2023 | 13.00% |
| Dec 31, 2022 | 12.20% |
| Sep 30, 2022 | 11.42% |
| Jun 30, 2022 | 10.65% |
| Mar 31, 2022 | 10.31% |
| Dec 31, 2021 | 9.95% |
| Sep 30, 2021 | 7.12% |
Applied Industrial Technologies Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=AIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();