Tokyo Lifestyle (TKLF) Payables (2021 - 2026)
Tokyo Lifestyle's Payables came in at $155.95 million for fiscal Q4 2026 (quarter ended Mar 31, 2026), up 88.0% from $82.96 million a year earlier.
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Analysis
Tokyo Lifestyle (TKLF) Payables (2021 - 2026) Analysis & Trends
Going back to fiscal Q4 2021, Tokyo Lifestyle's Payables data covers 11 quarters.
- Payables carries a five-year compound annual growth rate of 15.2% (FY2021 to FY2026).
- Going back by fiscal year, Payables was $82.96 million in FY2025 (-100.0%), $53234.65 trillion in FY2024 (-12.2%), $60636.41 trillion in FY2023 (+50.4%) and $40328.99 trillion in FY2022.
- The five-year range for quarterly Payables is $67.88 million (fiscal Q2 2024) to $60636.41 trillion (fiscal Q4 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,829.77 Bn | 2,346.47 Bn | 104.83 Bn | 147.44 Bn |
| 2 | Home Depot | 312.24 Bn | 305.48 Bn | 16.12 Bn | 17.83 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 5.02 Bn |
| 4 | Lowes Companies | 109.75 Bn | 102.72 Bn | 8.58 Bn | 11.08 Bn |
| 5 | Ross Stores | 75.33 Bn | 58.26 Bn | 2.12 Bn | 2.62 Bn |
| 6 | O Reilly Automotive | 73.38 Bn | 72.47 Bn | 2.52 Bn | 7.38 Bn |
| 7 | Target | 69.96 Bn | 64.55 Bn | 8.94 Bn | 13.31 Bn |
| 8 | Autozone | 51.69 Bn | 50.59 Bn | 2.52 Bn | 8.40 Bn |
| 9 | Carvana | 43.50 Bn | 33.99 Bn | 1.38 Bn | 1.72 Bn |
| 10 | Tokyo Lifestyle | 6.48 Mn | -5.71 Mn | - | 155.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 155.95 Mn |
| Sep 30, 2025 | 117.58 Mn |
| Mar 31, 2025 | 82.96 Mn |
| Sep 30, 2024 | 87.95 Mn |
| Mar 31, 2024 | 77.63 Mn |
| Sep 30, 2023 | 67.88 Mn |
| Mar 31, 2023 | 73.36 Mn |
| Sep 30, 2022 | 5.46 Bn |
| Mar 31, 2022 | 48.36 Mn |
| Sep 30, 2021 | 5.27 Bn |
| Mar 31, 2021 | 76.71 Mn |
API Access
Tokyo Lifestyle 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=payables&ticker=TKLF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=payables&ticker=TKLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();