Tandy Leather Factory (TLF) Assets (2010 - 2026)
Tandy Leather Factory (TLF) posted Assets of $81.6 million for Q2 2026, up 6.6% from $76.54 million a year earlier and up 0.1% from the prior quarter.
Tandy Leather Factory (TLF) Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Tandy Leather Factory's Assets came in at $86.63 million, up 15.6% from FY2024.
- Annual Assets has increased for three consecutive years, with a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- In prior years, Tandy Leather Factory's Assets was $74.92 million in FY2024 (+3.9%), $72.14 million in FY2023 (+5.2%), $68.58 million in FY2022 (-6.2%) and $73.09 million in FY2021 (-3.4%).
- Quarterly Assets has run from a low of $68.19 million in Q1 2023 to a high of $86.63 million in Q4 2025 over five years.
- On a year-over-year basis, Assets has increased in each of the last 11 quarters, with growth averaging 8.2% over the last eight quarters.
- The strongest year-over-year quarter for Assets in the past five years was Q3 2025, with growth of 15.8%; the weakest was Q3 2022, with a decline of 7.4%.
- According to Business Quant data, Assets for the three prior quarters was $81.52 million (Q1 2026), $86.63 million (Q4 2025) and $84.54 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 1,095.69 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 109.38 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 37.12 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 55.88 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 15.98 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 61.24 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 17.39 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 14.55 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 20.92 Bn |
| 10 | Tandy Leather Factory | 21.22 Mn | -23.43 Mn | 11.70 Mn | 81.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 81.60 Mn |
| Mar 31, 2026 | 81.52 Mn |
| Dec 31, 2025 | 86.63 Mn |
| Sep 30, 2025 | 84.54 Mn |
| Jun 30, 2025 | 76.54 Mn |
| Mar 31, 2025 | 77.92 Mn |
| Dec 31, 2024 | 74.92 Mn |
| Sep 30, 2024 | 73.04 Mn |
| Jun 30, 2024 | 72.79 Mn |
| Mar 31, 2024 | 72.43 Mn |
| Dec 31, 2023 | 72.14 Mn |
| Sep 30, 2023 | 68.68 Mn |
| Jun 30, 2023 | 70.93 Mn |
| Mar 31, 2023 | 68.19 Mn |
| Dec 31, 2022 | 68.58 Mn |
| Sep 30, 2022 | 70.23 Mn |
| Jun 30, 2022 | 71.12 Mn |
| Mar 31, 2022 | 72.68 Mn |
| Dec 31, 2021 | 73.09 Mn |
| Sep 30, 2021 | 75.83 Mn |
Tandy Leather Factory Assets 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=assets&ticker=TLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=TLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();