Applied Industrial Technologies (AIT) Depreciation and Depletion (2009 - 2026)
Applied Industrial Technologies' Depreciation and Depletion was $6.4 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 1.0% from $6.47 million a year earlier but up 0.1% from the prior quarter.
Applied Industrial Technologies (AIT) Depreciation and Depletion (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Depreciation and Depletion at Applied Industrial Technologies came in at $25.88 million, up 3.9% from FY2025.
- Depreciation and Depletion has now increased for five consecutive fiscal years, with a five-year compound annual growth rate of 4.5% (FY2021 to FY2026).
- In earlier fiscal years, Depreciation and Depletion was $24.9 million in FY2025 (+6.3%), $23.43 million in FY2024 (+5.2%), $22.27 million in FY2023 (+2.7%) and $21.68 million in FY2022 (+4.3%).
- Quarterly Depreciation and Depletion has moved between $5.35 million (fiscal Q3 2022) and $6.59 million (fiscal Q2 2026) over five years.
- Compared with a year earlier, Depreciation and Depletion was higher in five of the last eight quarters, with growth averaging 5.3%.
- The best year-over-year quarter for Depreciation and Depletion over five years was fiscal Q3 2025 (growth of 13.5%); the worst was fiscal Q3 2026 (a decline of 2.8%).
- Per Business Quant data, AIT's Depreciation and Depletion in the three fiscal quarters before Q4 2026 was $6.4 million (Q3 2026), $6.59 million (Q2 2026) and $6.49 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 67.37 Bn | 66.13 Bn | 1.73 Bn | 704.00 Mn |
| 2 | W.W. Grainger | 60.32 Bn | 58.30 Bn | 1.98 Bn | - |
| 3 | Fastenal | 58.24 Bn | 57.16 Bn | 1.06 Bn | 42.80 Mn |
| 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 | 546.00 Mn |
| 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 | 6.40 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
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.40 Mn |
| Mar 31, 2026 | 6.40 Mn |
| Dec 31, 2025 | 6.59 Mn |
| Sep 30, 2025 | 6.49 Mn |
| Jun 30, 2025 | 6.47 Mn |
| Mar 31, 2025 | 6.58 Mn |
| Dec 31, 2024 | 5.93 Mn |
| Sep 30, 2024 | 5.92 Mn |
| Jun 30, 2024 | 5.86 Mn |
| Mar 31, 2024 | 5.80 Mn |
| Dec 31, 2023 | 6.05 Mn |
| Sep 30, 2023 | 5.72 Mn |
| Jun 30, 2023 | 5.67 Mn |
| Mar 31, 2023 | 5.57 Mn |
| Dec 31, 2022 | 5.55 Mn |
| Sep 30, 2022 | 5.48 Mn |
| Jun 30, 2022 | 5.46 Mn |
| Mar 31, 2022 | 5.35 Mn |
| Dec 31, 2021 | 5.44 Mn |
| Sep 30, 2021 | 5.43 Mn |
Applied Industrial Technologies Depreciation and Depletion 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=depreciation-and-depletion&ticker=AIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();