Fastenal (FAST) Accumulated Expenses (2009 - 2026)
Fastenal (FAST) recorded Accumulated Expenses of $288.7 million in Q2 2026, up 12.3% from $257.1 million a year earlier and up 19.0% from the prior quarter.
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Analysis
Fastenal (FAST) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Fastenal reported Accumulated Expenses of $264.7 million, up 17.3% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $225.6 million in FY2024 (-6.4%), $241 million in FY2023 (unchanged), $241.1 million in FY2022 (-19.2%) and $298.3 million in FY2021 (+9.6%).
- The Q2 2026 figure is the highest quarterly Accumulated Expenses since Q4 2021.
- On a year-over-year basis, Accumulated Expenses has increased for six consecutive quarters, with growth averaging 8.7% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 18.9% in Q2 2025, against a decline of 19.2% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $242.6 million (Q1 2026), $264.7 million (Q4 2025) and $261.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | W.W. Grainger | 58.68 Bn | 56.66 Bn | 1.98 Bn |
| 2 | Fastenal | 56.84 Bn | 55.76 Bn | 1.06 Bn |
| 3 | Ferguson Enterprises | 43.23 Bn | 40.45 Bn | 2.32 Bn |
| 4 | Sunbelt Rentals Holdings | 30.01 Bn | 29.89 Bn | 1.25 Bn |
| 5 | Reliance | 19.64 Bn | 18.69 Bn | 1.30 Bn |
| 6 | Wesco International | 17.52 Bn | 14.83 Bn | 1.46 Bn |
| 7 | Applied Industrial Technologies | 12.22 Bn | 12.09 Bn | 411.22 Mn |
| 8 | Watsco | 10.77 Bn | 8.93 Bn | 578.93 Mn |
| 9 | Avantor | 10.19 Bn | 8.98 Bn | 537.00 Mn |
| 10 | Core & Main | 7.65 Bn | 6.95 Bn | 573.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 288.70 Mn |
| Mar 31, 2026 | 242.60 Mn |
| Dec 31, 2025 | 264.70 Mn |
| Sep 30, 2025 | 261.10 Mn |
| Jun 30, 2025 | 257.10 Mn |
| Mar 31, 2025 | 215.70 Mn |
| Dec 31, 2024 | 225.60 Mn |
| Sep 30, 2024 | 225.70 Mn |
| Jun 30, 2024 | 216.20 Mn |
| Mar 31, 2024 | 207.50 Mn |
| Dec 31, 2023 | 241.00 Mn |
| Sep 30, 2023 | 235.80 Mn |
| Jun 30, 2023 | 229.50 Mn |
| Mar 31, 2023 | 229.20 Mn |
| Dec 31, 2022 | 241.10 Mn |
| Sep 30, 2022 | 282.40 Mn |
| Jun 30, 2022 | 268.70 Mn |
| Mar 31, 2022 | 268.20 Mn |
| Dec 31, 2021 | 298.30 Mn |
| Sep 30, 2021 | 278.00 Mn |
API Access
Fastenal Accumulated Expenses 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=accumulated-expenses&ticker=FAST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=FAST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();