Dick'S Sporting Goods (DKS) Interest Expenses (2009 - 2026)
Dick'S Sporting Goods' Interest Expenses was $17.85 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 10.7% from $16.12 million a year earlier and up 1.7% from the prior quarter.
Dick'S Sporting Goods (DKS) Interest Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dick'S Sporting Goods' Interest Expenses was $71.39 million through Aug 1, 2026, up 32.5% year-over-year; for FY2026 (ended Jan 31, 2026), it was $64.26 million, up 21.3% from FY2025.
- Interest Expenses shows a five-year compound annual growth rate of 5.7% (FY2021 to FY2026).
- In earlier fiscal years, Interest Expenses was $52.99 million in FY2025 (-8.7%), $58.02 million in FY2024 (-39.1%), $95.22 million in FY2023 (+64.6%) and $57.84 million in FY2022 (+18.5%).
- Quarterly Interest Expenses has moved between $12.14 million (fiscal Q1 2026) and $26.13 million (fiscal Q3 2023) over five years.
- Compared with a year earlier, Interest Expenses has increased for five straight quarters, with growth averaging 15.3% over the last eight quarters.
- The best year-over-year quarter for Interest Expenses over five years was fiscal Q1 2023 (growth of 91.6%); the worst was fiscal Q3 2024 (a decline of 45.0%).
- Per Business Quant data, DKS's Interest Expenses in the three fiscal quarters before Q2 2027 was $17.54 million (Q1 2027), $17.67 million (Q4 2026) and $18.34 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 1.31 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 583.00 Mn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | 69.87 Mn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 98.00 Mn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | - |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 101.00 Mn |
| 10 | Dick'S Sporting Goods | 12.62 Bn | 8.53 Bn | 1.94 Bn | 17.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 17.85 Mn |
| May 2, 2026 | 17.54 Mn |
| Jan 31, 2026 | 17.67 Mn |
| Nov 1, 2025 | 18.34 Mn |
| Aug 2, 2025 | 16.12 Mn |
| May 3, 2025 | 12.14 Mn |
| Feb 1, 2025 | 12.68 Mn |
| Nov 2, 2024 | 12.95 Mn |
| Aug 3, 2024 | 13.52 Mn |
| May 4, 2024 | 13.84 Mn |
| Feb 3, 2024 | 14.21 Mn |
| Oct 28, 2023 | 14.38 Mn |
| Jul 29, 2023 | 14.38 Mn |
| Apr 29, 2023 | 15.04 Mn |
| Jan 28, 2023 | 17.95 Mn |
| Oct 29, 2022 | 26.13 Mn |
| Jul 30, 2022 | 25.49 Mn |
| Apr 30, 2022 | 25.64 Mn |
| Jan 29, 2022 | 16.87 Mn |
| Oct 30, 2021 | 13.79 Mn |
Dick'S Sporting Goods 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=DKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "DKS", "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=DKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();