Tile Shop Holdings (TTSH) Operating Expenses (2011 - 2025)
Tile Shop Holdings (TTSH) posted Operating Expenses of $52.3 million for Q4 2025, up 0.8% from $51.86 million a year earlier but down 3.6% from the prior quarter.
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Analysis
Tile Shop Holdings (TTSH) Operating Expenses (2011 - 2025) Analysis & Trends
For FY2025, Tile Shop Holdings' Operating Expenses came in at $220.83 million, down 1.6% from FY2024.
- Annual Operating Expenses has declined for three consecutive years, though with a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- In prior years, Tile Shop Holdings' Operating Expenses was $224.36 million in FY2024 (-1.1%), $226.9 million in FY2023 (-4.0%), $236.33 million in FY2022 (+1.6%) and $232.52 million in FY2021 (+8.1%).
- Quarterly Operating Expenses has run from a low of $51.86 million in Q4 2024 to a high of $62.11 million in Q1 2022 over five years.
- On a year-over-year basis, Operating Expenses increased in two of the last eight quarters, with an average decline of 1.3%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2021, with growth of 24.6%; the weakest was Q2 2023, with a decline of 9.3%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $54.25 million (Q3 2025), $56.4 million (Q2 2025) and $57.89 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,691.65 Bn | 2,208.35 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 325.36 Bn | 318.60 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 162.54 Bn | 140.09 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 114.04 Bn | 107.00 Bn | 8.58 Bn | 4.46 Bn |
| 5 | O Reilly Automotive | 75.74 Bn | 74.83 Bn | 2.52 Bn | 1.53 Bn |
| 6 | Ross Stores | 75.07 Bn | 57.99 Bn | 2.12 Bn | 1.02 Bn |
| 7 | Target | 71.70 Bn | 66.28 Bn | 8.94 Bn | 5.73 Bn |
| 8 | Autozone | 53.85 Bn | 52.75 Bn | 2.52 Bn | 1.60 Bn |
| 9 | Carvana | 42.25 Bn | 32.75 Bn | 1.38 Bn | 704.00 Mn |
| 10 | Tile Shop Holdings | 86.08 Mn | -3.00 Mn | 47.83 Mn | 52.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 52.30 Mn |
| Sep 30, 2025 | 54.25 Mn |
| Jun 30, 2025 | 56.40 Mn |
| Mar 31, 2025 | 57.89 Mn |
| Dec 31, 2024 | 51.86 Mn |
| Sep 30, 2024 | 55.98 Mn |
| Jun 30, 2024 | 58.48 Mn |
| Mar 31, 2024 | 58.04 Mn |
| Dec 31, 2023 | 53.19 Mn |
| Sep 30, 2023 | 56.73 Mn |
| Jun 30, 2023 | 55.57 Mn |
| Mar 31, 2023 | 61.41 Mn |
| Dec 31, 2022 | 53.87 Mn |
| Sep 30, 2022 | 59.11 Mn |
| Jun 30, 2022 | 61.24 Mn |
| Mar 31, 2022 | 62.11 Mn |
| Dec 31, 2021 | 56.64 Mn |
| Sep 30, 2021 | 59.79 Mn |
| Jun 30, 2021 | 58.81 Mn |
| Mar 31, 2021 | 57.28 Mn |
API Access
Tile Shop Holdings Operating Expenses 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=operating-expenses&ticker=TTSH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=TTSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();