Tile Shop Holdings (TTSH) Return on Capital Employed [ROCE] (2012 - 2025)
Tile Shop Holdings (TTSH) posted Return on Capital Employed [ROCE] of -2.53% for Q4 2025, down 3.99 percentage points from 1.45% a year earlier and down 1.61 percentage points from the prior quarter.
Tile Shop Holdings (TTSH) Return on Capital Employed [ROCE] (2012 - 2025) Analysis & Trends
For FY2025, Tile Shop Holdings' Return on Capital Employed [ROCE] came in at -2.51%, down 3.98 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has declined for three consecutive years, with a five-year change of -4.68 percentage points (FY2020 to FY2025).
- In prior years, Tile Shop Holdings' Return on Capital Employed [ROCE] was 1.47% in FY2024 (-4.93 pp), 6.40% in FY2023 (-2.30 pp), 8.70% in FY2022 (+0.25 pp) and 8.45% in FY2021 (+6.28 pp).
- The Q4 2025 figure stands as the lowest quarterly Return on Capital Employed [ROCE] in data going back to Q4 2012.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined in each of the last 11 quarters, with an average year-over-year change of -4.22 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q2 2021, with a gain of 9.00 percentage points; the weakest was Q1 2025, with a drop of 5.53 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -0.93% (Q3 2025), 0.00% (Q2 2025) and 0.60% (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,671.68 Bn | 2,188.38 Bn | 104.83 Bn | 11.49% |
| 2 | Home Depot | 317.55 Bn | 310.79 Bn | 16.12 Bn | 28.54% |
| 3 | Tjx Companies | 160.11 Bn | 137.66 Bn | 5.07 Bn | 34.00% |
| 4 | Lowes Companies | 111.01 Bn | 103.97 Bn | 8.58 Bn | 30.02% |
| 5 | O Reilly Automotive | 74.59 Bn | 73.68 Bn | 2.52 Bn | 47.86% |
| 6 | Ross Stores | 72.72 Bn | 55.65 Bn | 2.12 Bn | 30.97% |
| 7 | Target | 69.31 Bn | 63.90 Bn | 8.94 Bn | 15.67% |
| 8 | Autozone | 52.85 Bn | 51.75 Bn | 2.52 Bn | 33.85% |
| 9 | Carvana | 41.40 Bn | 31.89 Bn | 1.38 Bn | 18.45% |
| 10 | Tile Shop Holdings | 87.39 Mn | -1.69 Mn | 47.83 Mn | -2.53% |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -2.53% |
| Sep 30, 2025 | -0.93% |
| Jun 30, 2025 | 0.00% |
| Mar 31, 2025 | 0.60% |
| Dec 31, 2024 | 1.45% |
| Sep 30, 2024 | 2.44% |
| Jun 30, 2024 | 3.48% |
| Mar 31, 2024 | 6.13% |
| Dec 31, 2023 | 6.71% |
| Sep 30, 2023 | 7.24% |
| Jun 30, 2023 | 8.12% |
| Mar 31, 2023 | 8.83% |
| Dec 31, 2022 | 8.37% |
| Sep 30, 2022 | 9.18% |
| Jun 30, 2022 | 8.43% |
| Mar 31, 2022 | 7.77% |
| Dec 31, 2021 | 8.14% |
| Sep 30, 2021 | 7.53% |
| Jun 30, 2021 | 7.51% |
| Mar 31, 2021 | 4.13% |
Tile Shop Holdings Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=TTSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=TTSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();