Tile Shop Holdings (TTSH) Total Liabilities (2011 - 2025)
Tile Shop Holdings' Total Liabilities came in at $214.49 million for Q4 2025, up 9.0% from $196.69 million a year earlier and up 11.2% from the prior quarter.
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Analysis
Tile Shop Holdings (TTSH) Total Liabilities (2011 - 2025) Analysis & Trends
Going back to Q4 2011, Tile Shop Holdings' Total Liabilities data covers 55 quarters.
- Total Liabilities carries a five-year compound annual growth rate of 1.0% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $196.69 million in FY2024 (-0.1%), $196.99 million in FY2023 (-16.9%), $237.05 million in FY2022 (+8.5%) and $218.53 million in FY2021 (+7.3%).
- The Q4 2025 figure represents the highest quarterly Total Liabilities since Q1 2023.
- Year-over-year, Total Liabilities increased in two of the last eight quarters, with an average decline of 1.4%.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2022 (growth of 15.1%), and the weakest in Q4 2023 (a decline of 16.9%).
- Business Quant data shows TTSH's Total Liabilities at $192.88 million (Q3 2025), $200.23 million (Q2 2025) and $201.6 million (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | 9.24 Bn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | 19.22 Bn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 43.39 Bn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | 23.70 Bn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 9.41 Bn |
| 10 | Tile Shop Holdings | 86.08 Mn | -3.00 Mn | 47.83 Mn | 214.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 214.49 Mn |
| Sep 30, 2025 | 192.88 Mn |
| Jun 30, 2025 | 200.23 Mn |
| Mar 31, 2025 | 201.60 Mn |
| Dec 31, 2024 | 196.69 Mn |
| Sep 30, 2024 | 197.47 Mn |
| Jun 30, 2024 | 199.50 Mn |
| Mar 31, 2024 | 204.62 Mn |
| Dec 31, 2023 | 196.99 Mn |
| Sep 30, 2023 | 203.95 Mn |
| Jun 30, 2023 | 211.00 Mn |
| Mar 31, 2023 | 223.44 Mn |
| Dec 31, 2022 | 237.05 Mn |
| Sep 30, 2022 | 239.25 Mn |
| Jun 30, 2022 | 212.28 Mn |
| Mar 31, 2022 | 217.18 Mn |
| Dec 31, 2021 | 218.53 Mn |
| Sep 30, 2021 | 207.79 Mn |
| Jun 30, 2021 | 205.99 Mn |
| Mar 31, 2021 | 209.61 Mn |
API Access
Tile Shop Holdings 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=TTSH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "TTSH", "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=TTSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();