Tandy Leather Factory (TLF) Shares Outstanding (2010 - 2026)
Tandy Leather Factory (TLF) recorded Shares Outstanding of 8.15 million in Q2 2026, down 4.0% from 8.49 million a year earlier but up 0.6% from the prior quarter.
Powered by 
Analysis
Tandy Leather Factory (TLF) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Tandy Leather Factory reported Shares Outstanding of 8.23 million, down 3.1% from FY2024.
- Annual Shares Outstanding has a five-year compound annual growth rate of -1.9% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding came in at 8.49 million in FY2024 (+1.9%), 8.34 million in FY2023 (-0.3%), 8.36 million in FY2022 (-4.0%) and 8.71 million in FY2021 (-3.9%).
- Quarterly Shares Outstanding has ranged from 8.1 million in Q1 2026 to 8.71 million in Q4 2021 over the past five years.
- On a year-over-year basis, Shares Outstanding has declined for four consecutive quarters, with an average decline of 1.2% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding in the last five years was growth of 1.9% in Q4 2024, against a decline of 4.9% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 8.1 million (Q1 2026), 8.23 million (Q4 2025) and 8.14 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 10.77 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 994.00 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 | 559.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 317.69 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 454.40 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 825.20 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 717.69 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 16.47 Mn |
| 10 | Tandy Leather Factory | 20.23 Mn | -24.41 Mn | 11.70 Mn | 8.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.15 Mn |
| Mar 31, 2026 | 8.10 Mn |
| Dec 31, 2025 | 8.23 Mn |
| Sep 30, 2025 | 8.14 Mn |
| Jun 30, 2025 | 8.49 Mn |
| Mar 31, 2025 | 8.50 Mn |
| Dec 31, 2024 | 8.49 Mn |
| Sep 30, 2024 | 8.42 Mn |
| Jun 30, 2024 | 8.42 Mn |
| Mar 31, 2024 | 8.40 Mn |
| Dec 31, 2023 | 8.34 Mn |
| Sep 30, 2023 | 8.33 Mn |
| Jun 30, 2023 | 8.33 Mn |
| Mar 31, 2023 | 8.30 Mn |
| Dec 31, 2022 | 8.36 Mn |
| Sep 30, 2022 | 8.24 Mn |
| Jun 30, 2022 | 8.28 Mn |
| Mar 31, 2022 | 8.57 Mn |
| Dec 31, 2021 | 8.71 Mn |
| Sep 30, 2021 | 8.66 Mn |
API Access
Tandy Leather Factory Shares Outstanding 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&ticker=TLF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=TLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();