Tokyo Lifestyle (TKLF) Other Accumulated Expenses (2021 - 2026)
Tokyo Lifestyle (TKLF) reported Other Accumulated Expenses of $2.84 million for fiscal Q4 2026 (quarter ended Mar 31, 2026), compared with $27,678 a year earlier.
Tokyo Lifestyle (TKLF) Other Accumulated Expenses (2021 - 2026) Analysis & Trends
Dating back to fiscal Q4 2021, Tokyo Lifestyle's Other Accumulated Expenses record includes 11 quarters.
- Other Accumulated Expenses has a five-year compound annual growth rate of 64.5% (FY2021 to FY2026).
- By fiscal year, Other Accumulated Expenses came in at $27,678 in FY2025 (-35.5%), $42,943 in FY2024 (-100.0%), $297.56 billion in FY2023 and $193,841 in FY2022 (-17.8%).
- Five-year quarterly Other Accumulated Expenses spans a low of $17,599 in fiscal Q2 2025 and a high of $1.53 trillion in fiscal Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn |
| 10 | Tokyo Lifestyle | 6.31 Mn | -4.58 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 2.84 Mn |
| Sep 30, 2025 | 1,530.31 Bn |
| Mar 31, 2025 | 27,678.00 |
| Sep 30, 2024 | 17,599.00 |
| Mar 31, 2024 | 42,943.00 |
| Sep 30, 2023 | 108,064.00 |
| Mar 31, 2023 | 297.56 Bn |
| Sep 30, 2022 | 43,102.00 |
| Mar 31, 2022 | 193,841.00 |
| Sep 30, 2021 | 695,309.00 |
| Mar 31, 2021 | 235,774.00 |
Tokyo Lifestyle Other Accumulated Expenses 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=other-accumulated-expenses&ticker=TKLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=TKLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();