Applied Industrial Technologies (AIT) Price to Earnings (2010 - 2026)
Applied Industrial Technologies' (AIT) Price to Earnings stood at 30.02 in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 34.0% from 22.40 a year earlier and up 23.6% from the prior quarter.
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Applied Industrial Technologies (AIT) Price to Earnings (2010 - 2026) Analysis & Trends
Starting with fiscal Q4 2010, Applied Industrial Technologies' Price to Earnings history includes 64 quarters.
- Annual Price to Earnings has increased for four straight fiscal years.
- Across earlier fiscal years, Price to Earnings came in at 22.40 in FY2025 (+16.0%), 19.32 in FY2024 (+19.6%), 16.15 in FY2023 (+12.3%) and 14.38 in FY2022 (-40.6%).
- The fiscal Q4 2026 figure is the highest quarterly Price to Earnings since fiscal Q3 2021.
- On a year-over-year basis, Price to Earnings rose in seven of the last eight quarters, with growth averaging 18.4%.
- Peak year-over-year performance for Price to Earnings in the last five years was growth of 35.6% in fiscal Q1 2025, against a decline of 80.1% in fiscal Q1 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 24.29 (Q3 2026), 23.72 (Q2 2026) and 24.51 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | United Rentals | 67.37 Bn | 66.13 Bn | 1.73 Bn |
| 2 | W.W. Grainger | 60.32 Bn | 58.30 Bn | 1.98 Bn |
| 3 | Fastenal | 58.24 Bn | 57.16 Bn | 1.06 Bn |
| 4 | Ferguson Enterprises | 43.34 Bn | 40.56 Bn | 2.32 Bn |
| 5 | Sunbelt Rentals Holdings | 31.62 Bn | 31.50 Bn | 1.25 Bn |
| 6 | Reliance | 20.43 Bn | 19.48 Bn | 1.30 Bn |
| 7 | Wesco International | 18.60 Bn | 15.91 Bn | 1.46 Bn |
| 8 | Applied Industrial Technologies | 12.64 Bn | 12.52 Bn | 411.22 Mn |
| 9 | Watsco | 10.59 Bn | 8.75 Bn | 578.93 Mn |
| 10 | Avantor | 10.38 Bn | 9.17 Bn | 537.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.02 |
| Mar 31, 2026 | 24.29 |
| Dec 31, 2025 | 23.72 |
| Sep 30, 2025 | 24.51 |
| Jun 30, 2025 | 22.40 |
| Mar 31, 2025 | 22.08 |
| Dec 31, 2024 | 23.81 |
| Sep 30, 2024 | 22.34 |
| Jun 30, 2024 | 19.32 |
| Mar 31, 2024 | 20.36 |
| Dec 31, 2023 | 17.83 |
| Sep 30, 2023 | 16.48 |
| Jun 30, 2023 | 16.15 |
| Mar 31, 2023 | 16.47 |
| Dec 31, 2022 | 15.96 |
| Sep 30, 2022 | 14.09 |
| Jun 30, 2022 | 14.38 |
| Mar 31, 2022 | 16.61 |
| Dec 31, 2021 | 17.53 |
| Sep 30, 2021 | 21.27 |
API Access
Applied Industrial Technologies Price to Earnings 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=price-to-earnings&ticker=AIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();