Applied Industrial Technologies (AIT) Gross Margin (2009 - 2026)
Applied Industrial Technologies' Gross Margin was 30.38% in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 0.25 percentage points from 30.13% a year earlier but down 0.02 percentage points from the prior quarter.
Applied Industrial Technologies (AIT) Gross Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Applied Industrial Technologies' Gross Margin was 30.40% through Sep 30, 2026, down 0.04 percentage points year-over-year; for FY2026 (ended Jun 30, 2026), it came in at 30.34%, up 0.03 percentage points from FY2025.
- Gross Margin has now increased for six consecutive fiscal years, with a five-year change of +1.43 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Gross Margin was 30.31% in FY2025 (+0.47 pp), 29.84% in FY2024 (+0.68 pp), 29.16% in FY2023 (+0.12 pp) and 29.05% in FY2022 (+0.14 pp).
- Quarterly Gross Margin has moved between 28.88% (fiscal Q1 2023) and 30.69% (fiscal Q4 2024) over five years.
- Compared with a year earlier, Gross Margin was higher in four of the last eight quarters, with an average year-over-year change of +0.30 percentage points.
- The best year-over-year quarter for Gross Margin over five years was fiscal Q2 2022 (a gain of 1.49 percentage points); the worst was fiscal Q4 2022 (a drop of 0.47 percentage points).
- Per Business Quant data, AIT's Gross Margin in the three fiscal quarters before Q1 2027 was 30.40% (Q4 2026), 30.43% (Q3 2026) and 30.38% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 69.48 Bn | 68.60 Bn | 2.05 Bn | 41.81% |
| 2 | W.W. Grainger | 68.62 Bn | 65.98 Bn | 2.01 Bn | 38.81% |
| 3 | Fastenal | 61.98 Bn | 60.98 Bn | 1.10 Bn | 44.85% |
| 4 | Ferguson Enterprises | 50.07 Bn | 47.29 Bn | 2.32 Bn | 31.02% |
| 5 | Sunbelt Rentals Holdings | 33.24 Bn | 33.12 Bn | 1.25 Bn | 40.10% |
| 6 | Reliance | 21.51 Bn | 20.56 Bn | 1.45 Bn | 27.89% |
| 7 | Wesco International | 15.09 Bn | 12.14 Bn | 1.57 Bn | 21.67% |
| 8 | Watsco | 11.82 Bn | 9.51 Bn | 578.93 Mn | 27.50% |
| 9 | Applied Industrial Technologies | 10.80 Bn | 10.69 Bn | 392.21 Mn | 30.38% |
| 10 | Avantor | 10.49 Bn | 9.07 Bn | 534.80 Mn | 31.49% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 30.38% |
| Jun 30, 2026 | 30.40% |
| Mar 31, 2026 | 30.43% |
| Dec 31, 2025 | 30.38% |
| Sep 30, 2025 | 30.13% |
| Jun 30, 2025 | 30.60% |
| Mar 31, 2025 | 30.45% |
| Dec 31, 2024 | 30.57% |
| Sep 30, 2024 | 29.58% |
| Jun 30, 2024 | 30.69% |
| Mar 31, 2024 | 29.51% |
| Dec 31, 2023 | 29.44% |
| Sep 30, 2023 | 29.68% |
| Jun 30, 2023 | 29.23% |
| Mar 31, 2023 | 29.43% |
| Dec 31, 2022 | 29.10% |
| Sep 30, 2022 | 28.88% |
| Jun 30, 2022 | 28.89% |
| Mar 31, 2022 | 29.30% |
| Dec 31, 2021 | 29.38% |
Applied Industrial Technologies Gross Margin 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=gross-margin&ticker=AIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();