Tandy Leather Factory (TLF) Total Non-Current Liabilities (2017 - 2026)
Tandy Leather Factory (TLF) recorded Total Non-Current Liabilities of $34.42 million in Q2 2026, up 68.1% from $20.47 million a year earlier but down 1.1% from the prior quarter.
Tandy Leather Factory (TLF) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Tandy Leather Factory reported Total Non-Current Liabilities of $33.82 million, up 93.0% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $17.52 million in FY2024 (+13.8%), $15.4 million in FY2023 (-7.6%), $16.67 million in FY2022 (-21.3%) and $21.17 million in FY2021 (-8.1%).
- Quarterly Total Non-Current Liabilities has ranged from $14.58 million in Q3 2023 to $34.79 million in Q1 2026 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased for eight consecutive quarters, with growth averaging 53.6% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 106.4% in Q3 2025, against a decline of 23.8% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $34.79 million (Q1 2026), $33.82 million (Q4 2025) and $31.03 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 464.51 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 89.94 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 25.30 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 62.52 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 8.94 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 22.21 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 18.95 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 7.19 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 22.81 Bn |
| 10 | Tandy Leather Factory | 20.64 Mn | -24.00 Mn | 11.70 Mn | 34.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.42 Mn |
| Mar 31, 2026 | 34.79 Mn |
| Dec 31, 2025 | 33.82 Mn |
| Sep 30, 2025 | 31.03 Mn |
| Jun 30, 2025 | 20.47 Mn |
| Mar 31, 2025 | 22.07 Mn |
| Dec 31, 2024 | 17.52 Mn |
| Sep 30, 2024 | 15.03 Mn |
| Jun 30, 2024 | 14.87 Mn |
| Mar 31, 2024 | 14.81 Mn |
| Dec 31, 2023 | 15.40 Mn |
| Sep 30, 2023 | 14.58 Mn |
| Jun 30, 2023 | 17.48 Mn |
| Mar 31, 2023 | 15.42 Mn |
| Dec 31, 2022 | 16.67 Mn |
| Sep 30, 2022 | 19.15 Mn |
| Jun 30, 2022 | 20.57 Mn |
| Mar 31, 2022 | 19.71 Mn |
| Dec 31, 2021 | 21.17 Mn |
| Sep 30, 2021 | 23.05 Mn |
Tandy Leather Factory Total Non-Current 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-non-current-liabilities&ticker=TLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=TLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();