Tile Shop Holdings (TTSH) Cost of Revenue (2011 - 2025)
Tile Shop Holdings (TTSH) posted Cost of Revenue of $29.66 million for Q4 2025, up 4.2% from $28.46 million a year earlier but down 3.7% from the prior quarter.
Tile Shop Holdings (TTSH) Cost of Revenue (2011 - 2025) Analysis & Trends
For FY2025, Tile Shop Holdings' Cost of Revenue came in at $121.8 million, up 2.2% from FY2024.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- In prior years, Tile Shop Holdings' Cost of Revenue was $119.2 million in FY2024 (-11.1%), $134.09 million in FY2023 (-1.2%), $135.77 million in FY2022 (+15.5%) and $117.57 million in FY2021 (+13.6%).
- Quarterly Cost of Revenue has run from a low of $27.9 million in Q1 2021 to a high of $36.59 million in Q2 2022 over five years.
- On a year-over-year basis, Cost of Revenue has increased in each of the last three quarters, with an average decline of 4.2% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q2 2021, with growth of 33.4%; the weakest was Q1 2024, with a decline of 13.9%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $30.79 million (Q3 2025), $31.42 million (Q2 2025) and $29.94 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,674.18 Bn | 2,190.88 Bn | 104.83 Bn | 95.78 Bn |
| 2 | Home Depot | 319.00 Bn | 312.24 Bn | 16.12 Bn | 31.75 Bn |
| 3 | Tjx Companies | 159.67 Bn | 137.22 Bn | 5.07 Bn | 10.11 Bn |
| 4 | Lowes Companies | 111.47 Bn | 104.43 Bn | 8.58 Bn | 17.38 Bn |
| 5 | O Reilly Automotive | 73.39 Bn | 72.48 Bn | 2.52 Bn | 2.38 Bn |
| 6 | Ross Stores | 73.30 Bn | 56.23 Bn | 2.12 Bn | 4.15 Bn |
| 7 | Target | 69.39 Bn | 63.98 Bn | 8.94 Bn | 17.60 Bn |
| 8 | Carvana | 63.54 Bn | 55.14 Bn | 1.38 Bn | 5.99 Bn |
| 9 | Autozone | 52.26 Bn | 51.16 Bn | 2.52 Bn | 2.32 Bn |
| 10 | Tile Shop Holdings | 79.64 Mn | -9.44 Mn | 47.83 Mn | 29.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 29.66 Mn |
| Sep 30, 2025 | 30.79 Mn |
| Jun 30, 2025 | 31.42 Mn |
| Mar 31, 2025 | 29.94 Mn |
| Dec 31, 2024 | 28.46 Mn |
| Sep 30, 2024 | 28.28 Mn |
| Jun 30, 2024 | 31.05 Mn |
| Mar 31, 2024 | 31.41 Mn |
| Dec 31, 2023 | 29.80 Mn |
| Sep 30, 2023 | 32.55 Mn |
| Jun 30, 2023 | 35.26 Mn |
| Mar 31, 2023 | 36.48 Mn |
| Dec 31, 2022 | 31.01 Mn |
| Sep 30, 2022 | 32.54 Mn |
| Jun 30, 2022 | 36.59 Mn |
| Mar 31, 2022 | 35.63 Mn |
| Dec 31, 2021 | 30.61 Mn |
| Sep 30, 2021 | 29.29 Mn |
| Jun 30, 2021 | 29.77 Mn |
| Mar 31, 2021 | 27.90 Mn |
Tile Shop Holdings Cost of Revenue 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=cost-of-revenue&ticker=TTSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=TTSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();