Tile Shop Holdings (TTSH) Debt Ratio (2011 - 2025)
Tile Shop Holdings' (TTSH) Debt Ratio came in at 0.08 for Q4 2025.
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Analysis
Tile Shop Holdings (TTSH) Debt Ratio (2011 - 2025) Analysis & Trends
Since Q4 2011, Tile Shop Holdings has reported Debt Ratio for 37 quarters.
- In prior years, Tile Shop Holdings' Debt Ratio was 0.13 in FY2022 (+794.7%) and 0.01 in FY2021.
- The Q4 2025 figure stands as the highest quarterly Debt Ratio since Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 0.12 |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 0.48 |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | 0.08 |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | 0.67 |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | 0.06 |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | 0.40 |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 0.25 |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | 0.43 |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 0.36 |
| 10 | Tile Shop Holdings | 86.08 Mn | -3.00 Mn | 47.83 Mn | 0.08 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 0.08 |
| Sep 30, 2023 | 0.03 |
| Jun 30, 2023 | 0.06 |
| Mar 31, 2023 | 0.07 |
| Dec 31, 2022 | 0.13 |
| Sep 30, 2022 | 0.08 |
| Jun 30, 2022 | 0.01 |
| Mar 31, 2022 | 0.01 |
| Dec 31, 2021 | 0.01 |
| Sep 30, 2020 | 0.02 |
| Jun 30, 2020 | 0.06 |
| Mar 31, 2020 | 0.10 |
| Dec 31, 2019 | 0.16 |
| Sep 30, 2019 | 0.15 |
| Jun 30, 2019 | 0.15 |
| Mar 31, 2019 | 0.12 |
| Dec 31, 2018 | 0.18 |
| Sep 30, 2018 | 0.15 |
| Jun 30, 2018 | 0.10 |
| Mar 31, 2018 | 0.09 |
API Access
Tile Shop Holdings Debt Ratio 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=debt-ratio&ticker=TTSH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=TTSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();