Tile Shop Holdings (TTSH) Return on Sales [ROS] (2011 - 2025)
Tile Shop Holdings (TTSH) reported Return on Sales [ROS] of -5.77% for Q4 2025, down 4.68 percentage points from -1.09% a year earlier and down 3.40 percentage points from the prior quarter.
Tile Shop Holdings (TTSH) Return on Sales [ROS] (2011 - 2025) Analysis & Trends
For FY2025, Tile Shop Holdings posted Return on Sales [ROS] of -1.73%, down 2.74 percentage points from FY2024.
- Return on Sales [ROS] has declined for three consecutive years, with a five-year change of -3.69 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 1.01% in FY2024 (-3.27 pp), 4.28% in FY2023 (-1.44 pp), 5.73% in FY2022 (+0.17 pp) and 5.56% in FY2021 (+3.60 pp).
- The Q4 2025 figure ranks as the lowest quarterly Return on Sales [ROS] in data going back to Q3 2011.
- Year over year, Return on Sales [ROS] has now declined in each of the last 13 quarters, with an average year-over-year change of -3.02 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q2 2021 (a gain of 10.56 percentage points); the low point was Q2 2024 (a drop of 5.82 percentage points).
- Per Business Quant data, the three quarters before Q4 2025 came in at -2.37% (Q3 2025), 0.50% (Q2 2025) and 0.21% (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,671.68 Bn | 2,188.38 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 317.55 Bn | 310.79 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 160.11 Bn | 137.66 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 111.01 Bn | 103.97 Bn | 8.58 Bn | 13.67% |
| 5 | O Reilly Automotive | 74.59 Bn | 73.68 Bn | 2.52 Bn | 20.15% |
| 6 | Ross Stores | 72.72 Bn | 55.65 Bn | 2.12 Bn | 17.62% |
| 7 | Target | 69.31 Bn | 63.90 Bn | 8.94 Bn | 9.65% |
| 8 | Autozone | 52.85 Bn | 51.75 Bn | 2.52 Bn | 19.08% |
| 9 | Carvana | 41.40 Bn | 31.89 Bn | 1.38 Bn | 9.22% |
| 10 | Tile Shop Holdings | 87.39 Mn | -1.69 Mn | 47.83 Mn | -5.77% |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -5.77% |
| Sep 30, 2025 | -2.37% |
| Jun 30, 2025 | 0.50% |
| Mar 31, 2025 | 0.21% |
| Dec 31, 2024 | -1.09% |
| Sep 30, 2024 | 0.30% |
| Jun 30, 2024 | 2.03% |
| Mar 31, 2024 | 2.49% |
| Dec 31, 2023 | 1.74% |
| Sep 30, 2023 | 3.07% |
| Jun 30, 2023 | 7.85% |
| Mar 31, 2023 | 4.04% |
| Dec 31, 2022 | 2.96% |
| Sep 30, 2022 | 5.66% |
| Jun 30, 2022 | 9.09% |
| Mar 31, 2022 | 4.62% |
| Dec 31, 2021 | 3.25% |
| Sep 30, 2021 | 3.42% |
| Jun 30, 2021 | 7.92% |
| Mar 31, 2021 | 7.50% |
Tile Shop Holdings Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=TTSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=TTSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();