Tile Shop Holdings (TTSH) Shares Outstanding (Entity) (2011 - 2025)
Tile Shop Holdings (TTSH) reported Shares Outstanding (Entity) of 39.82 million for Q4 2025, down 10.8% from 44.66 million a year earlier and down 10.9% from the prior quarter.
Tile Shop Holdings (TTSH) Shares Outstanding (Entity) (2011 - 2025) Analysis & Trends
Dating back to Q3 2011, Tile Shop Holdings' Shares Outstanding (Entity) record includes 58 quarters.
- Shares Outstanding (Entity) has a five-year compound annual growth rate of -5.1% (FY2020 to FY2025).
- By year, Shares Outstanding (Entity) came in at 44.66 million in FY2024 (+0.3%), 44.51 million in FY2023 (+0.3%), 44.38 million in FY2022 (-14.6%) and 51.96 million in FY2021 (+0.5%).
- The Q4 2025 figure ranks as the lowest quarterly Shares Outstanding (Entity) since Q4 2012.
- Year over year, Shares Outstanding (Entity) gained in six of the last eight quarters, with an average decline of 1.2%.
- The high point for year-over-year Shares Outstanding (Entity) in five years was Q1 2021 (growth of 1.0%); the low point was Q2 2023 (a decline of 14.7%).
- Per Business Quant data, the three quarters before Q4 2025 came in at 44.72 million (Q3 2025), 44.78 million (Q2 2025) and 44.73 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,772.96 Bn | 2,289.66 Bn | 104.83 Bn | 10.78 Bn |
| 2 | Home Depot | 313.74 Bn | 306.98 Bn | 16.12 Bn | 998.00 Mn |
| 3 | Tjx Companies | 161.68 Bn | 139.23 Bn | 5.07 Bn | 1.10 Bn |
| 4 | Lowes Companies | 110.83 Bn | 103.80 Bn | 8.58 Bn | 561.00 Mn |
| 5 | Ross Stores | 75.02 Bn | 57.95 Bn | 2.12 Bn | 319.67 Mn |
| 6 | O Reilly Automotive | 73.96 Bn | 73.05 Bn | 2.52 Bn | 816.17 Mn |
| 7 | Target | 69.18 Bn | 63.77 Bn | 8.94 Bn | 454.29 Mn |
| 8 | Autozone | 52.35 Bn | 51.25 Bn | 2.52 Bn | 16.33 Mn |
| 9 | Carvana | 42.72 Bn | 33.21 Bn | 1.38 Bn | 1.10 Bn |
| 10 | Tile Shop Holdings | 78.05 Mn | -11.03 Mn | 47.83 Mn | 39.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 39.82 Mn |
| Sep 30, 2025 | 44.72 Mn |
| Jun 30, 2025 | 44.78 Mn |
| Mar 31, 2025 | 44.73 Mn |
| Dec 31, 2024 | 44.66 Mn |
| Sep 30, 2024 | 44.66 Mn |
| Jun 30, 2024 | 44.65 Mn |
| Mar 31, 2024 | 44.59 Mn |
| Dec 31, 2023 | 44.51 Mn |
| Sep 30, 2023 | 44.56 Mn |
| Jun 30, 2023 | 44.57 Mn |
| Mar 31, 2023 | 44.61 Mn |
| Dec 31, 2022 | 44.38 Mn |
| Sep 30, 2022 | 48.08 Mn |
| Jun 30, 2022 | 52.27 Mn |
| Mar 31, 2022 | 52.11 Mn |
| Dec 31, 2021 | 51.96 Mn |
| Sep 30, 2021 | 51.98 Mn |
| Jun 30, 2021 | 51.97 Mn |
| Mar 31, 2021 | 51.93 Mn |
Tile Shop Holdings Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=TTSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=TTSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();