Tile Shop Holdings (TTSH) Total Non-Current Liabilities (2011 - 2025)
Tile Shop Holdings' Total Non-Current Liabilities was $209.17 million in Q4 2025, up 8.9% from $192.09 million a year earlier and up 11.5% from the prior quarter.
Tile Shop Holdings (TTSH) Total Non-Current Liabilities (2011 - 2025) Analysis & Trends
From Q4 2011 onward, Tile Shop Holdings has reported Total Non-Current Liabilities for 55 quarters.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 1.0% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $192.09 million in FY2024 (+0.3%), $191.44 million in FY2023 (-17.5%), $232.04 million in FY2022 (+9.0%) and $212.97 million in FY2021 (+6.8%).
- The Q4 2025 figure marks the highest quarterly Total Non-Current Liabilities since Q1 2023.
- Compared with a year earlier, Total Non-Current Liabilities was higher in three of the last eight quarters, with an average decline of 1.6%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2022 (growth of 16.0%); the worst was Q4 2023 (a decline of 17.5%).
- Per Business Quant data, TTSH's Total Non-Current Liabilities in the three quarters before Q4 2025 was $187.57 million (Q3 2025), $195.18 million (Q2 2025) and $197.23 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 464.51 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 89.94 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | 25.30 Bn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | 62.52 Bn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | 8.94 Bn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | 18.95 Bn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 22.21 Bn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | 22.81 Bn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 5.05 Bn |
| 10 | Tile Shop Holdings | 86.08 Mn | -3.00 Mn | 47.83 Mn | 209.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 209.17 Mn |
| Sep 30, 2025 | 187.57 Mn |
| Jun 30, 2025 | 195.18 Mn |
| Mar 31, 2025 | 197.23 Mn |
| Dec 31, 2024 | 192.09 Mn |
| Sep 30, 2024 | 192.88 Mn |
| Jun 30, 2024 | 194.86 Mn |
| Mar 31, 2024 | 199.59 Mn |
| Dec 31, 2023 | 191.44 Mn |
| Sep 30, 2023 | 200.12 Mn |
| Jun 30, 2023 | 206.52 Mn |
| Mar 31, 2023 | 218.96 Mn |
| Dec 31, 2022 | 232.04 Mn |
| Sep 30, 2022 | 235.10 Mn |
| Jun 30, 2022 | 207.43 Mn |
| Mar 31, 2022 | 212.72 Mn |
| Dec 31, 2021 | 212.97 Mn |
| Sep 30, 2021 | 202.74 Mn |
| Jun 30, 2021 | 200.71 Mn |
| Mar 31, 2021 | 206.04 Mn |
Tile Shop Holdings Total Non-Current 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-non-current-liabilities&ticker=TTSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=TTSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();