Tokyo Lifestyle (TKLF) Notes Payables (2021 - 2026)
Tokyo Lifestyle's Notes Payables came in at $50.32 million for fiscal Q4 2026 (quarter ended Mar 31, 2026), down 13.1% from $57.9 million a year earlier.
Analysis
Tokyo Lifestyle (TKLF) Notes Payables (2021 - 2026) Analysis & Trends
Going back to fiscal Q4 2021, Tokyo Lifestyle's Notes Payables data covers 11 quarters.
- Notes Payables has declined in each of the last three fiscal years, with a five-year compound annual growth rate of -5.0% (FY2021 to FY2026).
- Going back by fiscal year, Notes Payables was $57.9 million in FY2025 (-100.0%), $53234.65 trillion in FY2024 (-12.2%), $60636.41 trillion in FY2023 (+50.4%) and $40328.98 trillion in FY2022.
- The fiscal Q4 2026 figure represents the lowest quarterly Notes Payables in data going back to fiscal Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn |
| 10 | Tokyo Lifestyle | 6.69 Mn | -4.20 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 50.32 Mn |
| Sep 30, 2025 | 58,582.85 Bn |
| Mar 31, 2025 | 57.90 Mn |
| Sep 30, 2024 | 58.95 Mn |
| Mar 31, 2024 | 53,234,650.00 Bn |
| Sep 30, 2023 | 54.54 Mn |
| Mar 31, 2023 | 60,636,412.00 Bn |
| Sep 30, 2022 | 50.68 Mn |
| Mar 31, 2022 | 40,328,982.00 Bn |
| Sep 30, 2021 | 66.28 Mn |
| Mar 31, 2021 | 65.08 Mn |
API Access
Tokyo Lifestyle Notes Payables 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=notes-payables&ticker=TKLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "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=notes-payables&ticker=TKLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();