Kohls (KSS) Total Liabilities (2009 - 2026)
Kohls (KSS) posted Total Liabilities of $9.24 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 2.3% from $9.46 billion a year earlier but up 1.1% from the prior quarter.
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Analysis
Kohls (KSS) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Kohls' Total Liabilities came in at $9.31 billion, down 4.5% from FY2025.
- Annual Total Liabilities has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -1.7% (FY2021 to FY2026).
- In prior fiscal years, Kohls' Total Liabilities was $9.76 billion in FY2025 (-3.5%), $10.12 billion in FY2024 (-4.4%), $10.58 billion in FY2023 (+1.8%) and $10.39 billion in FY2022 (+2.5%).
- Quarterly Total Liabilities has run from a low of $9.14 billion in fiscal Q1 2027 to a high of $12.14 billion in fiscal Q3 2023 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last 13 quarters, with an average decline of 5.7% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q1 2023, with growth of 12.8%; the weakest was fiscal Q3 2026, with a decline of 9.2%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $9.14 billion (Q1 2027), $9.31 billion (Q4 2026) and $10.21 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 9.24 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 43.39 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 19.22 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 9.41 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 23.70 Bn |
| 10 | Kohls | 2.06 Bn | -6.82 Mn | 1.62 Bn | 9.24 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 9.24 Bn |
| May 2, 2026 | 9.14 Bn |
| Jan 31, 2026 | 9.31 Bn |
| Nov 1, 2025 | 10.21 Bn |
| Aug 2, 2025 | 9.46 Bn |
| May 3, 2025 | 9.86 Bn |
| Feb 1, 2025 | 9.76 Bn |
| Nov 2, 2024 | 11.25 Bn |
| Aug 3, 2024 | 10.35 Bn |
| May 4, 2024 | 10.47 Bn |
| Feb 3, 2024 | 10.12 Bn |
| Oct 28, 2023 | 11.72 Bn |
| Jul 29, 2023 | 11.06 Bn |
| Apr 29, 2023 | 10.99 Bn |
| Jan 28, 2023 | 10.58 Bn |
| Oct 29, 2022 | 12.14 Bn |
| Jul 30, 2022 | 11.08 Bn |
| Apr 30, 2022 | 10.80 Bn |
| Jan 29, 2022 | 10.39 Bn |
| Oct 30, 2021 | 11.02 Bn |
API Access
Kohls 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=KSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "KSS", "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=KSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();