Tile Shop Holdings (TTSH) Total Current Liabilities (2011 - 2025)
Tile Shop Holdings (TTSH) posted Total Current Liabilities of $79.21 million for Q4 2025, up 1.0% from $78.39 million a year earlier but down 2.5% from the prior quarter.
Tile Shop Holdings (TTSH) Total Current Liabilities (2011 - 2025) Analysis & Trends
Since Q4 2011, Tile Shop Holdings has reported Total Current Liabilities for 55 quarters.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 0.6% (FY2020 to FY2025).
- In prior years, Tile Shop Holdings' Total Current Liabilities was $78.39 million in FY2024 (-0.4%), $78.75 million in FY2023 (-5.5%), $83.29 million in FY2022 (-14.8%) and $97.71 million in FY2021 (+27.2%).
- Quarterly Total Current Liabilities has run from a low of $78.39 million in Q4 2024 to a high of $104.39 million in Q1 2022 over five years.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last three quarters, with an average decline of 1.7% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q4 2021, with growth of 27.2%; the weakest was Q3 2023, with a decline of 16.3%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $81.23 million (Q3 2025), $82.78 million (Q2 2025) and $86.48 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 241.27 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 34.99 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | 13.36 Bn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | 21.13 Bn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | 4.89 Bn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | 9.57 Bn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 21.18 Bn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | 10.04 Bn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 2.04 Bn |
| 10 | Tile Shop Holdings | 86.08 Mn | -3.00 Mn | 47.83 Mn | 79.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 79.21 Mn |
| Sep 30, 2025 | 81.23 Mn |
| Jun 30, 2025 | 82.78 Mn |
| Mar 31, 2025 | 86.48 Mn |
| Dec 31, 2024 | 78.39 Mn |
| Sep 30, 2024 | 81.10 Mn |
| Jun 30, 2024 | 82.03 Mn |
| Mar 31, 2024 | 87.68 Mn |
| Dec 31, 2023 | 78.75 Mn |
| Sep 30, 2023 | 86.33 Mn |
| Jun 30, 2023 | 85.53 Mn |
| Mar 31, 2023 | 91.17 Mn |
| Dec 31, 2022 | 83.29 Mn |
| Sep 30, 2022 | 103.13 Mn |
| Jun 30, 2022 | 99.78 Mn |
| Mar 31, 2022 | 104.39 Mn |
| Dec 31, 2021 | 97.71 Mn |
| Sep 30, 2021 | 88.48 Mn |
| Jun 30, 2021 | 87.48 Mn |
| Mar 31, 2021 | 89.68 Mn |
Tile Shop Holdings Total 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-current-liabilities&ticker=TTSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=TTSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();