Applied Industrial Technologies (AIT) Retained Earnings (2010 - 2026)
Applied Industrial Technologies (AIT) recorded Retained Earnings of $2.79 billion in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 13.9% from $2.45 billion a year earlier and up 3.0% from the prior quarter.
Applied Industrial Technologies (AIT) Retained Earnings (2010 - 2026) Analysis & Trends
Starting with fiscal Q4 2010, Applied Industrial Technologies' Retained Earnings history includes 65 quarters.
- Annual Retained Earnings has increased for six straight fiscal years, with a five-year compound annual growth rate of 16.6% (FY2021 to FY2026).
- Across earlier fiscal years, Retained Earnings came in at $2.45 billion in FY2025 (+15.4%), $2.12 billion in FY2024 (+18.4%), $1.79 billion in FY2023 (+19.5%) and $1.5 billion in FY2022 (+15.9%).
- The fiscal Q4 2026 figure is the highest quarterly Retained Earnings in data going back to fiscal Q4 2010.
- On a year-over-year basis, Retained Earnings has increased for 22 consecutive quarters, with growth averaging 15.4% over the last eight quarters.
- The year-over-year growth in Retained Earnings has ranged between 9.1% (fiscal Q1 2022) and 19.7% (fiscal Q1 2024) over the last five years.
- Per Business Quant, the preceding three fiscal quarters came in at $2.71 billion (Q3 2026), $2.63 billion (Q2 2026) and $2.55 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 65.40 Bn | 64.16 Bn | 1.73 Bn | 16.88 Bn |
| 2 | W.W. Grainger | 63.07 Bn | 60.67 Bn | 1.98 Bn | 15.86 Bn |
| 3 | Fastenal | 59.20 Bn | 58.13 Bn | 1.06 Bn | 4.04 Bn |
| 4 | Ferguson Enterprises | 44.13 Bn | 41.34 Bn | 2.32 Bn | 7.40 Bn |
| 5 | Sunbelt Rentals Holdings | 31.58 Bn | 31.46 Bn | 1.25 Bn | 7.77 Bn |
| 6 | Reliance | 21.32 Bn | 20.36 Bn | 1.30 Bn | 7.48 Bn |
| 7 | Wesco International | 16.71 Bn | 14.03 Bn | 1.46 Bn | 5.82 Bn |
| 8 | Applied Industrial Technologies | 12.36 Bn | 12.23 Bn | 411.22 Mn | 2.79 Bn |
| 9 | Watsco | 11.52 Bn | 9.20 Bn | 578.93 Mn | 1.31 Bn |
| 10 | Avantor | 11.26 Bn | 10.06 Bn | 537.00 Mn | 1.75 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.79 Bn |
| Mar 31, 2026 | 2.71 Bn |
| Dec 31, 2025 | 2.63 Bn |
| Sep 30, 2025 | 2.55 Bn |
| Jun 30, 2025 | 2.45 Bn |
| Mar 31, 2025 | 2.38 Bn |
| Dec 31, 2024 | 2.29 Bn |
| Sep 30, 2024 | 2.21 Bn |
| Jun 30, 2024 | 2.12 Bn |
| Mar 31, 2024 | 2.05 Bn |
| Dec 31, 2023 | 1.96 Bn |
| Sep 30, 2023 | 1.89 Bn |
| Jun 30, 2023 | 1.79 Bn |
| Mar 31, 2023 | 1.73 Bn |
| Dec 31, 2022 | 1.64 Bn |
| Sep 30, 2022 | 1.58 Bn |
| Jun 30, 2022 | 1.50 Bn |
| Mar 31, 2022 | 1.45 Bn |
| Dec 31, 2021 | 1.39 Bn |
| Sep 30, 2021 | 1.35 Bn |
Applied Industrial Technologies Retained 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=retained-earnings&ticker=AIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-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=retained-earnings&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();