Dick'S Sporting Goods (DKS) Total Liabilities (2010 - 2026)
Dick'S Sporting Goods (DKS) recorded Total Liabilities of $12.52 billion in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 70.7% from $7.34 billion a year earlier and up 2.4% from the prior quarter.
Dick'S Sporting Goods (DKS) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Dick'S Sporting Goods reported Total Liabilities of $11.87 billion, up 63.5% from FY2025.
- Annual Total Liabilities has increased for three straight fiscal years, with a five-year compound annual growth rate of 17.0% (FY2021 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $7.26 billion in FY2025 (+8.5%), $6.69 billion in FY2024 (+3.5%), $6.47 billion in FY2023 (-6.8%) and $6.94 billion in FY2022 (+28.2%).
- The fiscal Q2 2027 figure is the highest quarterly Total Liabilities in data going back to fiscal Q4 2010.
- On a year-over-year basis, Total Liabilities has increased for 12 consecutive quarters, with growth averaging 35.8% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 70.7% in fiscal Q2 2027, against a decline of 8.4% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $12.23 billion (Q1 2027), $11.87 billion (Q4 2026) and $11.91 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 9.24 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 19.22 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 43.39 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 23.70 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 9.41 Bn |
| 10 | Dick'S Sporting Goods | 12.72 Bn | 8.63 Bn | 1.94 Bn | 12.52 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 12.52 Bn |
| May 2, 2026 | 12.23 Bn |
| Jan 31, 2026 | 11.87 Bn |
| Nov 1, 2025 | 11.91 Bn |
| Aug 2, 2025 | 7.34 Bn |
| May 3, 2025 | 7.38 Bn |
| Feb 1, 2025 | 7.26 Bn |
| Nov 2, 2024 | 7.39 Bn |
| Aug 3, 2024 | 7.01 Bn |
| May 4, 2024 | 7.02 Bn |
| Feb 3, 2024 | 6.69 Bn |
| Oct 28, 2023 | 6.90 Bn |
| Jul 29, 2023 | 6.71 Bn |
| Apr 29, 2023 | 6.43 Bn |
| Jan 28, 2023 | 6.47 Bn |
| Oct 29, 2022 | 6.58 Bn |
| Jul 30, 2022 | 6.89 Bn |
| Apr 30, 2022 | 7.03 Bn |
| Jan 29, 2022 | 6.94 Bn |
| Oct 30, 2021 | 5.47 Bn |
Dick'S Sporting Goods Total Liabilities 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=total-liabilities&ticker=DKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=DKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();