Tile Shop Holdings (TTSH) Inventory (2011 - 2025)
Tile Shop Holdings (TTSH) posted Inventory of $89.4 million for Q4 2025, up 3.6% from $86.27 million a year earlier and up 2.5% from the prior quarter.
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Analysis
Tile Shop Holdings (TTSH) Inventory (2011 - 2025) Analysis & Trends
Since Q4 2011, Tile Shop Holdings has reported Inventory for 55 quarters.
- Annual Inventory shows a five-year compound annual growth rate of 3.8% (FY2020 to FY2025).
- In prior years, Tile Shop Holdings' Inventory was $86.27 million in FY2024 (-7.9%), $93.68 million in FY2023 (-22.5%), $120.95 million in FY2022 (+24.5%) and $97.18 million in FY2021 (+30.8%).
- The Q4 2025 figure stands as the highest quarterly Inventory since Q4 2023.
- On a year-over-year basis, Inventory increased in two of the last eight quarters, with an average decline of 7.4%.
- The strongest year-over-year quarter for Inventory in the past five years was Q2 2022, with growth of 59.6%; the weakest was Q1 2024, with a decline of 23.1%.
- According to Business Quant data, Inventory for the three prior quarters was $87.24 million (Q3 2025), $85.97 million (Q2 2025) and $88.15 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 38.18 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 26.85 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | 7.86 Bn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | 17.74 Bn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | 3.09 Bn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | 5.97 Bn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 13.25 Bn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | - |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 3.26 Bn |
| 10 | Tile Shop Holdings | 86.08 Mn | -3.00 Mn | 47.83 Mn | 89.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 89.40 Mn |
| Sep 30, 2025 | 87.24 Mn |
| Jun 30, 2025 | 85.97 Mn |
| Mar 31, 2025 | 88.15 Mn |
| Dec 31, 2024 | 86.27 Mn |
| Sep 30, 2024 | 84.53 Mn |
| Jun 30, 2024 | 86.07 Mn |
| Mar 31, 2024 | 88.84 Mn |
| Dec 31, 2023 | 93.68 Mn |
| Sep 30, 2023 | 98.71 Mn |
| Jun 30, 2023 | 106.86 Mn |
| Mar 31, 2023 | 115.48 Mn |
| Dec 31, 2022 | 120.95 Mn |
| Sep 30, 2022 | 121.48 Mn |
| Jun 30, 2022 | 110.04 Mn |
| Mar 31, 2022 | 104.70 Mn |
| Dec 31, 2021 | 97.18 Mn |
| Sep 30, 2021 | 76.70 Mn |
| Jun 30, 2021 | 68.93 Mn |
| Mar 31, 2021 | 70.97 Mn |
API Access
Tile Shop Holdings Inventory 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=inventory&ticker=TTSH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=TTSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();