Tile Shop Holdings (TTSH) Selling, General & Administrative (2011 - 2025)
Tile Shop Holdings' Selling, General & Administrative was $52.3 million in Q4 2025, up 0.8% from $51.86 million a year earlier but down 3.6% from the prior quarter.
Tile Shop Holdings (TTSH) Selling, General & Administrative (2011 - 2025) Analysis & Trends
For FY2025, Selling, General & Administrative at Tile Shop Holdings came in at $220.83 million, down 1.6% from FY2024.
- Selling, General & Administrative has now declined for three consecutive years, though with a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative 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 Selling, General & Administrative has moved between $51.86 million (Q4 2024) and $62.11 million (Q1 2022) over five years.
- Compared with a year earlier, Selling, General & Administrative was higher in two of the last eight quarters, with an average decline of 1.3%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q2 2021 (growth of 24.6%); the worst was Q2 2023 (a decline of 9.3%).
- Per Business Quant data, TTSH's Selling, General & Administrative in the three quarters before Q4 2025 was $54.25 million (Q3 2025), $56.4 million (Q2 2025) and $57.89 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,680.19 Bn | 2,196.89 Bn | 104.83 Bn | 2.79 Bn |
| 2 | Home Depot | 317.07 Bn | 310.31 Bn | 16.12 Bn | 8.42 Bn |
| 3 | Tjx Companies | 160.41 Bn | 137.96 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 111.29 Bn | 104.26 Bn | 8.58 Bn | 4.46 Bn |
| 5 | O Reilly Automotive | 74.86 Bn | 73.95 Bn | 2.52 Bn | 1.53 Bn |
| 6 | Ross Stores | 73.00 Bn | 55.93 Bn | 2.12 Bn | 1.02 Bn |
| 7 | Target | 69.92 Bn | 64.51 Bn | 8.94 Bn | 5.73 Bn |
| 8 | Autozone | 53.34 Bn | 52.24 Bn | 2.52 Bn | 1.60 Bn |
| 9 | Carvana | 41.21 Bn | 31.70 Bn | 1.38 Bn | 704.00 Mn |
| 10 | Tile Shop Holdings | 87.39 Mn | -1.69 Mn | 47.83 Mn | 52.30 Mn |
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 |
Tile Shop Holdings Selling, General & Administrative 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=selling-general-and-administrative&ticker=TTSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=TTSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();