Applied Industrial Technologies (AIT) EPS (Basic) (2009 - 2026)
Applied Industrial Technologies (AIT) recorded EPS (Basic) of $3.01 in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 12.7% from $2.67 a year earlier but down 5.2% from the prior quarter.
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Analysis
Applied Industrial Technologies (AIT) EPS (Basic) (2009 - 2026) Analysis & Trends
On a TTM basis, Applied Industrial Technologies' EPS (Basic) came in at $11.55 as of Sep 30, 2026, up 8.6% year-over-year; for FY2026 (ended Jun 30, 2026), it came in at $11.09, up 8.1% from FY2025.
- Annual EPS (Basic) has increased for six straight fiscal years, with a five-year compound annual growth rate of 24.3% (FY2021 to FY2026).
- Across earlier fiscal years, EPS (Basic) came in at $10.26 in FY2025 (+2.9%), $9.98 in FY2024 (+11.0%), $8.98 in FY2023 (+34.3%) and $6.69 in FY2022 (+79.2%).
- Quarterly EPS (Basic) has ranged from $1.48 in fiscal Q2 2022 to $3.17 in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, EPS (Basic) has increased for eight consecutive quarters, with growth averaging 7.0% over the last eight quarters.
- Peak year-over-year performance for EPS (Basic) in the last five years was growth of 45.1% in fiscal Q1 2023, against a decline of 1.1% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $3.17 (Q4 2026), $2.68 (Q3 2026) and $2.54 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 73.34 Bn | 72.46 Bn | 2.05 Bn | 14.80 |
| 2 | W.W. Grainger | 65.22 Bn | 62.82 Bn | 1.98 Bn | 12.08 |
| 3 | Fastenal | 60.31 Bn | 59.31 Bn | 1.10 Bn | 0.35 |
| 4 | Ferguson Enterprises | 46.98 Bn | 44.19 Bn | 2.32 Bn | 2.13 |
| 5 | Sunbelt Rentals Holdings | 34.35 Bn | 34.23 Bn | 1.25 Bn | 1.07 |
| 6 | Reliance | 22.84 Bn | 21.89 Bn | 1.45 Bn | 7.90 |
| 7 | Wesco International | 16.33 Bn | 13.38 Bn | 1.57 Bn | 5.50 |
| 8 | Watsco | 12.05 Bn | 12.05 Bn | 586.29 Mn | 3.80 |
| 9 | Applied Industrial Technologies | 10.95 Bn | 10.83 Bn | 392.21 Mn | 3.01 |
| 10 | Avantor | 10.57 Bn | 9.16 Bn | 534.80 Mn | 0.30 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.01 |
| 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 |
API Access
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_KEYimport 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();