Tandy Leather Factory (TLF) Shares Outstanding (Entity) (2010 - 2026)
Tandy Leather Factory's Shares Outstanding (Entity) came in at 8.19 million for Q2 2026, down 3.6% from 8.5 million a year earlier but up 0.6% from the prior quarter.
Tandy Leather Factory (TLF) Shares Outstanding (Entity) (2010 - 2026) Analysis & Trends
For FY2025, Tandy Leather Factory's Shares Outstanding (Entity) was 8.07 million, down 5.0% from FY2024.
- Shares Outstanding (Entity) carries a five-year compound annual growth rate of -2.5% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Entity) was 8.5 million in FY2024 (+1.2%), 8.4 million in FY2023 (+1.3%), 8.29 million in FY2022 (-3.0%) and 8.55 million in FY2021 (-6.6%).
- The five-year range for quarterly Shares Outstanding (Entity) is 8.07 million (Q3 2025) to 8.66 million (Q3 2021).
- Year-over-year, Shares Outstanding (Entity) has declined for four consecutive quarters, with an average decline of 1.6% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Entity) over five years came in Q1 2025 (growth of 1.3%), and the weakest in Q4 2021 (a decline of 6.6%).
- Business Quant data shows TLF's Shares Outstanding (Entity) at 8.14 million (Q1 2026), 8.07 million (Q4 2025) and 8.07 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 10.78 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 998.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 1.10 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 561.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 319.67 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 454.29 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 816.17 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 1.10 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 16.33 Mn |
| 10 | Tandy Leather Factory | 20.23 Mn | -24.41 Mn | 11.70 Mn | 8.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.19 Mn |
| Mar 31, 2026 | 8.14 Mn |
| Dec 31, 2025 | 8.07 Mn |
| Sep 30, 2025 | 8.07 Mn |
| Jun 30, 2025 | 8.50 Mn |
| Mar 31, 2025 | 8.51 Mn |
| Dec 31, 2024 | 8.50 Mn |
| Sep 30, 2024 | 8.42 Mn |
| Jun 30, 2024 | 8.42 Mn |
| Mar 31, 2024 | 8.40 Mn |
| Dec 31, 2023 | 8.40 Mn |
| Sep 30, 2023 | 8.33 Mn |
| Jun 30, 2023 | 8.33 Mn |
| Mar 31, 2023 | 8.31 Mn |
| Dec 31, 2022 | 8.29 Mn |
| Sep 30, 2022 | 8.24 Mn |
| Jun 30, 2022 | 8.24 Mn |
| Mar 31, 2022 | 8.59 Mn |
| Dec 31, 2021 | 8.55 Mn |
| Sep 30, 2021 | 8.66 Mn |
Tandy Leather Factory 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=TLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "TLF", "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=TLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();