Tandy Leather Factory (TLF) Total Liabilities (2010 - 2026)
Tandy Leather Factory (TLF) recorded Total Liabilities of $34.65 million in Q2 2026, up 68.1% from $20.61 million a year earlier but down 1.1% from the prior quarter.
Tandy Leather Factory (TLF) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Tandy Leather Factory reported Total Liabilities of $34.04 million, up 91.6% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $17.77 million in FY2024 (+12.6%), $15.79 million in FY2023 (-7.8%), $17.12 million in FY2022 (-20.7%) and $21.58 million in FY2021 (-8.1%).
- Quarterly Total Liabilities has ranged from $15.03 million in Q3 2023 to $35.02 million in Q1 2026 over the past five years.
- On a year-over-year basis, Total Liabilities has increased for eight consecutive quarters, with growth averaging 52.0% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 102.1% in Q3 2025, against a decline of 23.2% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $35.02 million (Q1 2026), $34.04 million (Q4 2025) and $31.16 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,931.82 Bn | 2,428.49 Bn | 107.37 Bn | 629.79 Bn |
| 2 | Home Depot | 348.68 Bn | 341.92 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 150.97 Bn | 128.51 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 128.03 Bn | 120.99 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 74.86 Bn | 57.79 Bn | 2.12 Bn | 9.24 Bn |
| 6 | O Reilly Automotive | 73.48 Bn | 72.56 Bn | 2.52 Bn | 19.22 Bn |
| 7 | Target | 72.25 Bn | 66.84 Bn | 8.94 Bn | 43.39 Bn |
| 8 | Carvana | 53.50 Bn | 43.09 Bn | 1.52 Bn | 9.54 Bn |
| 9 | Autozone | 53.15 Bn | 52.00 Bn | 3.52 Bn | 24.13 Bn |
| 10 | Tandy Leather Factory | 17.94 Mn | -26.70 Mn | 11.70 Mn | 34.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.65 Mn |
| Mar 31, 2026 | 35.02 Mn |
| Dec 31, 2025 | 34.04 Mn |
| Sep 30, 2025 | 31.16 Mn |
| Jun 30, 2025 | 20.61 Mn |
| Mar 31, 2025 | 22.32 Mn |
| Dec 31, 2024 | 17.77 Mn |
| Sep 30, 2024 | 15.42 Mn |
| Jun 30, 2024 | 15.26 Mn |
| Mar 31, 2024 | 15.19 Mn |
| Dec 31, 2023 | 15.79 Mn |
| Sep 30, 2023 | 15.03 Mn |
| Jun 30, 2023 | 17.93 Mn |
| Mar 31, 2023 | 15.87 Mn |
| Dec 31, 2022 | 17.12 Mn |
| Sep 30, 2022 | 19.56 Mn |
| Jun 30, 2022 | 20.98 Mn |
| Mar 31, 2022 | 20.13 Mn |
| Dec 31, 2021 | 21.58 Mn |
| Sep 30, 2021 | 23.52 Mn |
Tandy Leather Factory Total Liabilities 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=total-liabilities&ticker=TLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=TLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();