Tokyo Lifestyle (TKLF) Non-Current Debt (2021 - 2026)
Tokyo Lifestyle (TKLF) reported Non-Current Debt of $3.36 million for FY2026 (year ended Mar 31, 2026), compared with -$15,346 in FY2025.
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Analysis
Tokyo Lifestyle (TKLF) Non-Current Debt (2021 - 2026) Analysis & Trends
Dating back to FY2020, Tokyo Lifestyle's Non-Current Debt record includes 7 fiscal years.
- Non-Current Debt has a five-year compound annual growth rate of 14.2% (FY2021 to FY2026).
- The FY2026 figure ranks as the highest annual Non-Current Debt in data going back to FY2020.
- According to Business Quant data, Non-Current Debt came in at -$15,346 in FY2025, -$228,966 in FY2024, $104,482 in FY2023 and -$4.28 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 128.89 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 43.95 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 1.87 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 35.20 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 777.05 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 14.22 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 7.01 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 4.85 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 9.02 Bn |
| 10 | Tokyo Lifestyle | 6.43 Mn | -4.45 Mn | - | 11.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 11.52 Mn |
| Sep 30, 2025 | 6,476.14 Bn |
| Mar 31, 2025 | 6.50 Mn |
| Sep 30, 2024 | 5.55 Mn |
| Mar 31, 2024 | 5.64 Mn |
| Sep 30, 2023 | 7.32 Mn |
| Mar 31, 2023 | 10.33 Mn |
| Sep 30, 2022 | 8.16 Mn |
| Mar 31, 2022 | 21.12 Mn |
| Sep 30, 2021 | 12.93 Mn |
| Mar 31, 2021 | 6.44 Mn |
API Access
Tokyo Lifestyle Non-Current Debt 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=non-current-debt&ticker=TKLF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "TKLF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-current-debt&ticker=TKLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();