Tile Shop Holdings (TTSH) Accumulated Expenses (2011 - 2025)
Tile Shop Holdings (TTSH) posted Accumulated Expenses of $23.92 million for Q4 2025, down 6.7% from $25.64 million a year earlier and down 13.3% from the prior quarter.
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Analysis
Tile Shop Holdings (TTSH) Accumulated Expenses (2011 - 2025) Analysis & Trends
Since Q4 2011, Tile Shop Holdings has reported Accumulated Expenses for 55 quarters.
- Annual Accumulated Expenses has declined for four consecutive years, with a five-year compound annual growth rate of -6.8% (FY2020 to FY2025).
- In prior years, Tile Shop Holdings' Accumulated Expenses was $25.64 million in FY2024 (-5.0%), $27 million in FY2023 (-15.4%), $31.92 million in FY2022 (-16.6%) and $38.25 million in FY2021 (+12.1%).
- The Q4 2025 figure stands as the lowest quarterly Accumulated Expenses since Q4 2017.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last 15 quarters, with an average decline of 8.6% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q1 2021, with growth of 58.1%; the weakest was Q1 2023, with a decline of 19.4%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $27.6 million (Q3 2025), $27.86 million (Q2 2025) and $29.52 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,699.85 Bn | 2,216.54 Bn | 104.83 Bn |
| 2 | Home Depot | 327.03 Bn | 320.28 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.28 Bn | 139.83 Bn | 5.07 Bn |
| 4 | Lowes Companies | 114.66 Bn | 107.62 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.66 Bn | 58.58 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 75.09 Bn | 74.17 Bn | 2.52 Bn |
| 7 | Target | 71.82 Bn | 66.41 Bn | 8.94 Bn |
| 8 | Carvana | 64.53 Bn | 56.13 Bn | 1.38 Bn |
| 9 | Autozone | 53.43 Bn | 52.33 Bn | 2.52 Bn |
| 10 | Tile Shop Holdings | 78.45 Mn | -10.63 Mn | 47.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 23.92 Mn |
| Sep 30, 2025 | 27.60 Mn |
| Jun 30, 2025 | 27.86 Mn |
| Mar 31, 2025 | 29.52 Mn |
| Dec 31, 2024 | 25.64 Mn |
| Sep 30, 2024 | 30.89 Mn |
| Jun 30, 2024 | 31.34 Mn |
| Mar 31, 2024 | 34.06 Mn |
| Dec 31, 2023 | 27.00 Mn |
| Sep 30, 2023 | 32.76 Mn |
| Jun 30, 2023 | 33.65 Mn |
| Mar 31, 2023 | 37.51 Mn |
| Dec 31, 2022 | 31.92 Mn |
| Sep 30, 2022 | 40.12 Mn |
| Jun 30, 2022 | 41.24 Mn |
| Mar 31, 2022 | 46.53 Mn |
| Dec 31, 2021 | 38.25 Mn |
| Sep 30, 2021 | 41.21 Mn |
| Jun 30, 2021 | 42.71 Mn |
| Mar 31, 2021 | 43.27 Mn |
API Access
Tile Shop Holdings Accumulated 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=accumulated-expenses&ticker=TTSH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=TTSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();