Fastenal (FAST) Depreciation and Depletion (2009 - 2026)
Fastenal (FAST) posted Depreciation and Depletion of $42.8 million for Q2 2026, up 0.9% from $42.4 million a year earlier and up 2.1% from the prior quarter.
Fastenal (FAST) Depreciation and Depletion (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation and Depletion at Fastenal was $168.8 million, up 0.5% year-over-year; for FY2025, it came in at $168.5 million, up 2.3% from FY2024.
- Annual Depreciation and Depletion shows a five-year compound annual growth rate of 1.9% (FY2020 to FY2025).
- In prior years, Fastenal's Depreciation and Depletion was $164.7 million in FY2024 (-1.1%), $166.6 million in FY2023 (+0.4%), $165.9 million in FY2022 (+3.8%) and $159.9 million in FY2021 (+4.3%).
- The Q2 2026 figure stands as the highest quarterly Depreciation and Depletion in data going back to Q1 2009.
- On a year-over-year basis, Depreciation and Depletion increased in six of the last eight quarters, with growth averaging 1.5%.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q1 2022, with growth of 4.8%; the weakest was Q1 2024, with a decline of 3.8%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $41.9 million (Q1 2026), $41.8 million (Q4 2025) and $42.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 64.44 Bn | 63.20 Bn | 1.73 Bn | 704.00 Mn |
| 2 | W.W. Grainger | 60.37 Bn | 58.35 Bn | 1.98 Bn | - |
| 3 | Fastenal | 57.63 Bn | 56.55 Bn | 1.06 Bn | 42.80 Mn |
| 4 | Ferguson Enterprises | 43.02 Bn | 40.24 Bn | 2.32 Bn | - |
| 5 | Sunbelt Rentals Holdings | 31.00 Bn | 30.88 Bn | 1.25 Bn | 546.00 Mn |
| 6 | Reliance | 20.06 Bn | 19.10 Bn | 1.30 Bn | - |
| 7 | Wesco International | 18.10 Bn | 15.41 Bn | 1.46 Bn | - |
| 8 | Applied Industrial Technologies | 12.49 Bn | 12.37 Bn | 411.22 Mn | 6.40 Mn |
| 9 | Watsco | 10.72 Bn | 8.88 Bn | 578.93 Mn | - |
| 10 | Avantor | 10.17 Bn | 8.97 Bn | 537.00 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.80 Mn |
| Mar 31, 2026 | 41.90 Mn |
| Dec 31, 2025 | 41.80 Mn |
| Sep 30, 2025 | 42.30 Mn |
| Jun 30, 2025 | 42.40 Mn |
| Mar 31, 2025 | 42.00 Mn |
| Dec 31, 2024 | 41.70 Mn |
| Sep 30, 2024 | 41.80 Mn |
| Jun 30, 2024 | 41.00 Mn |
| Mar 31, 2024 | 40.20 Mn |
| Dec 31, 2023 | 40.50 Mn |
| Sep 30, 2023 | 42.10 Mn |
| Jun 30, 2023 | 42.20 Mn |
| Mar 31, 2023 | 41.80 Mn |
| Dec 31, 2022 | 42.10 Mn |
| Sep 30, 2022 | 41.40 Mn |
| Jun 30, 2022 | 41.20 Mn |
| Mar 31, 2022 | 41.20 Mn |
| Dec 31, 2021 | 40.90 Mn |
| Sep 30, 2021 | 40.10 Mn |
Fastenal 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=FAST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "FAST", "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=FAST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();