Fastenal (FAST) Tax Provisions (2009 - 2026)
Fastenal's Tax Provisions came in at $119.3 million for Q2 2026, up 12.2% from $106.3 million a year earlier and up 9.9% from the prior quarter.
Fastenal (FAST) Tax Provisions (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Fastenal reported Tax Provisions of $423.6 million, up 13.7% year-over-year; for FY2025, it came in at $396.6 million, up 10.9% from FY2024.
- Tax Provisions carries a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- Going back by year, Tax Provisions was $357.5 million in FY2024 (-2.6%), $367 million in FY2023 (+3.9%), $353.1 million in FY2022 (+24.9%) and $282.8 million in FY2021 (+3.4%).
- The Q2 2026 figure represents the highest quarterly Tax Provisions in data going back to Q1 2009.
- Year-over-year, Tax Provisions has increased for six consecutive quarters, with growth averaging 8.0% over the last eight quarters.
- The fastest year-over-year change in Tax Provisions over five years came in Q1 2022 (growth of 27.9%), and the weakest in Q4 2024 (a decline of 6.4%).
- Business Quant data shows FAST's Tax Provisions at $108.6 million (Q1 2026), $90.6 million (Q4 2025) and $105.1 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 66.80 Bn | 65.56 Bn | 1.73 Bn | 254.00 Mn |
| 2 | W.W. Grainger | 62.12 Bn | 59.71 Bn | 1.98 Bn | 198.00 Mn |
| 3 | Fastenal | 58.79 Bn | 57.71 Bn | 1.06 Bn | 119.30 Mn |
| 4 | Ferguson Enterprises | 43.43 Bn | 40.65 Bn | 2.32 Bn | 146.00 Mn |
| 5 | Sunbelt Rentals Holdings | 31.62 Bn | 31.50 Bn | 1.25 Bn | 153.00 Mn |
| 6 | Reliance | 20.59 Bn | 19.62 Bn | 1.30 Bn | 106.20 Mn |
| 7 | Wesco International | 17.82 Bn | 15.14 Bn | 1.46 Bn | 62.40 Mn |
| 8 | Applied Industrial Technologies | 12.47 Bn | 12.35 Bn | 411.22 Mn | 39.19 Mn |
| 9 | Watsco | 11.07 Bn | 8.75 Bn | 578.93 Mn | 50.57 Mn |
| 10 | Avantor | 10.55 Bn | 9.35 Bn | 537.00 Mn | 43.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 119.30 Mn |
| Mar 31, 2026 | 108.60 Mn |
| Dec 31, 2025 | 90.60 Mn |
| Sep 30, 2025 | 105.10 Mn |
| Jun 30, 2025 | 106.30 Mn |
| Mar 31, 2025 | 94.40 Mn |
| Dec 31, 2024 | 82.20 Mn |
| Sep 30, 2024 | 89.50 Mn |
| Jun 30, 2024 | 93.70 Mn |
| Mar 31, 2024 | 92.10 Mn |
| Dec 31, 2023 | 87.80 Mn |
| Sep 30, 2023 | 89.90 Mn |
| Jun 30, 2023 | 94.60 Mn |
| Mar 31, 2023 | 94.60 Mn |
| Dec 31, 2022 | 82.60 Mn |
| Sep 30, 2022 | 90.70 Mn |
| Jun 30, 2022 | 93.60 Mn |
| Mar 31, 2022 | 86.10 Mn |
| Dec 31, 2021 | 67.30 Mn |
| Sep 30, 2021 | 72.60 Mn |
Fastenal Tax Provisions 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=tax-provisions&ticker=FAST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=FAST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();