Applied Industrial Technologies (AIT) EPS (Basic) (2009 - 2026)
Applied Industrial Technologies' (AIT) quarterly EPS (Basic) came in at $3.17 in Q2 2026, up 12.67% year-over-year from $2.82 in Q2 2025, and up 18.38% quarter-over-quarter from $2.68 in Q1 2026.
Applied Industrial Technologies (AIT) EPS (Basic) (2009 - 2026) Analysis & Trends
Applied Industrial Technologies (AIT) has reported EPS (Basic) for 18 consecutive years, with $3.17 the latest figure, recorded in Q2 2026.
- On a quarterly basis, EPS (Basic) rose 12.67% year-over-year to $3.17 in Q2 2026; TTM through Jun 2026 was $11.09, a 8.05% increase from a year earlier, with the FY2026 full-year figure at $11.09, up 8.05% from the prior year.
- EPS (Basic) was $3.17 for Q2 2026 at Applied Industrial Technologies, up from $2.68 in the prior quarter.
- Over five years, EPS (Basic) peaked at $3.17 in Q2 2026 and troughed at $1.78 in Q1 2022.
- A 5-year average of $2.45 and a median of $2.47 in 2024 frame the typical range for EPS (Basic).
- Across the five-year window, EPS (Basic) jumped 45.05% in 2022 and dropped 1.11% in 2024, its largest moves.
- Over 5 years, EPS (Basic) stood at $2.09 in 2022, then climbed by 12.9% to $2.35 in 2023, then rose by 3.1% to $2.43 in 2024, then increased by 4.47% to $2.54 in 2025, then grew by 25.11% to $3.17 in 2026.
- The last three EPS (Basic) figures came in at $3.17 (Q2 2026), $2.68 (Q1 2026), and $2.54 (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.74 Bn | 59.53 Bn | 1.98 Bn | 12.71 |
| 2 | Fastenal | 57.47 Bn | 57.26 Bn | 1.06 Bn | 0.33 |
| 3 | Ferguson Enterprises | 42.93 Bn | 42.11 Bn | 2.32 Bn | 2.13 |
| 4 | Sunbelt Rentals Holdings | 31.01 Bn | 30.98 Bn | 1.25 Bn | 1.07 |
| 5 | Reliance | 19.76 Bn | 19.53 Bn | 1.30 Bn | 6.33 |
| 6 | Wesco International | 17.65 Bn | 16.83 Bn | 1.46 Bn | 4.28 |
| 7 | Applied Industrial Technologies | 12.14 Bn | 12.02 Bn | 411.22 Mn | 3.17 |
| 8 | Watsco | 11.58 Bn | 11.60 Bn | 578.93 Mn | 5.01 |
| 9 | Avantor | 10.11 Bn | 9.80 Bn | 537.00 Mn | 0.06 |
| 10 | Core & Main | 7.93 Bn | 7.69 Bn | 573.00 Mn | 0.80 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.17 |
| Mar 31, 2026 | 2.68 |
| Dec 31, 2025 | 2.54 |
| Sep 30, 2025 | 2.67 |
| Jun 30, 2025 | 2.82 |
| Mar 31, 2025 | 2.60 |
| Dec 31, 2024 | 2.43 |
| Sep 30, 2024 | 2.40 |
| Jun 30, 2024 | 2.68 |
| Mar 31, 2024 | 2.51 |
| Dec 31, 2023 | 2.35 |
| Sep 30, 2023 | 2.42 |
| Jun 30, 2023 | 2.39 |
| Mar 31, 2023 | 2.52 |
| Dec 31, 2022 | 2.09 |
| Sep 30, 2022 | 2.00 |
| Jun 30, 2022 | 2.06 |
| Mar 31, 2022 | 1.78 |
| Dec 31, 2021 | 1.48 |
| Sep 30, 2021 | 1.38 |
Applied Industrial Technologies EPS (Basic) 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=eps-basic&ticker=AIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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=eps-basic&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();