Fastenal (FAST) Interest Expenses (2013 - 2026)
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Analysis
Fastenal (FAST) Interest Expenses (2013 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 69.71 Bn | 67.47 Bn | 2.01 Bn | 21.00 Mn |
| 2 | United Rentals | 69.67 Bn | 68.79 Bn | 2.05 Bn | - |
| 3 | Fastenal | 63.32 Bn | 62.32 Bn | 1.10 Bn | 800,000.00 |
| 4 | Ferguson Enterprises | 49.80 Bn | 47.02 Bn | 2.32 Bn | - |
| 5 | Sunbelt Rentals Holdings | 33.71 Bn | 33.59 Bn | 1.25 Bn | - |
| 6 | Reliance | 21.79 Bn | 20.85 Bn | 1.45 Bn | 18.40 Mn |
| 7 | Wesco International | 15.66 Bn | 12.70 Bn | 1.57 Bn | 93.60 Mn |
| 8 | Qxo | 13.09 Bn | 4.38 Bn | 1.38 Bn | - |
| 9 | Watsco | 11.10 Bn | 9.17 Bn | 586.29 Mn | - |
| 10 | Applied Industrial Technologies | 10.86 Bn | 10.75 Bn | 392.21 Mn | 3.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 800,000.00 |
| Jun 30, 2026 | 1.20 Mn |
| Mar 31, 2026 | 800,000.00 |
| Dec 31, 2025 | 900,000.00 |
| Sep 30, 2025 | 1.60 Mn |
| Jun 30, 2025 | 2.20 Mn |
| Mar 31, 2025 | 1.70 Mn |
| Dec 31, 2024 | 1.70 Mn |
| Sep 30, 2024 | 1.80 Mn |
| Jun 30, 2024 | 1.80 Mn |
| Mar 31, 2024 | 2.00 Mn |
| Dec 31, 2023 | 1.90 Mn |
| Sep 30, 2023 | 2.10 Mn |
| Jun 30, 2023 | 2.90 Mn |
| Mar 31, 2023 | 3.90 Mn |
| Dec 31, 2022 | 5.00 Mn |
| Sep 30, 2022 | 4.10 Mn |
| Jun 30, 2022 | 2.80 Mn |
| Mar 31, 2022 | 2.40 Mn |
| Dec 31, 2021 | 2.40 Mn |
API Access
Fastenal Interest 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=interest-expenses&ticker=FAST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=FAST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();