Kura Sushi Usa (KRUS) Other Operating Expenses (2018 - 2026)
Kura Sushi Usa (KRUS) posted Other Operating Expenses of $12.56 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 15.4% from $10.88 million a year earlier and up 8.3% from the prior quarter.
Kura Sushi Usa (KRUS) Other Operating Expenses (2018 - 2026) Analysis & Trends
For the trailing twelve months through May 31, 2026, Other Operating Expenses at Kura Sushi Usa was $47.89 million, up 24.3% year-over-year; for FY2025 (ended Aug 31, 2025), it was $40.94 million, up 20.2% from FY2024.
- Annual Other Operating Expenses has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 43.6% (FY2020 to FY2025).
- In prior fiscal years, Kura Sushi Usa's Other Operating Expenses was $34.06 million in FY2024 (+39.6%), $24.41 million in FY2023 (+39.3%), $17.52 million in FY2022 (+67.7%) and $10.45 million in FY2021 (+55.8%).
- The fiscal Q3 2026 figure stands as the highest quarterly Other Operating Expenses in data going back to fiscal Q1 2019.
- On a year-over-year basis, Other Operating Expenses has increased in each of the last 21 quarters, with growth averaging 23.6% over the last eight quarters.
- Over the past five years, the year-over-year growth in Other Operating Expenses ranged from 7.1% (fiscal Q2 2025) to 142.9% (fiscal Q4 2021).
- According to Business Quant data, Other Operating Expenses for the three prior fiscal quarters was $11.59 million (Q2 2026), $11.81 million (Q1 2026) and $11.94 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - |
| 10 | Kura Sushi Usa | 455.03 Mn | 249.51 Mn | 27.06 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 12.56 Mn |
| Feb 28, 2026 | 11.59 Mn |
| Nov 30, 2025 | 11.81 Mn |
| Aug 31, 2025 | 11.94 Mn |
| May 31, 2025 | 10.88 Mn |
| Feb 28, 2025 | 8.78 Mn |
| Nov 30, 2024 | 9.34 Mn |
| Aug 31, 2024 | 9.53 Mn |
| May 31, 2024 | 8.92 Mn |
| Feb 29, 2024 | 8.20 Mn |
| Nov 30, 2023 | 7.44 Mn |
| Aug 31, 2023 | 7.05 Mn |
| May 31, 2023 | 6.17 Mn |
| Feb 28, 2023 | 5.87 Mn |
| Nov 30, 2022 | 5.32 Mn |
| Aug 31, 2022 | 5.19 Mn |
| May 31, 2022 | 4.37 Mn |
| Feb 28, 2022 | 4.34 Mn |
| Nov 30, 2021 | 3.61 Mn |
| Aug 31, 2021 | 3.61 Mn |
Kura Sushi Usa Other Operating 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-operating-expenses&ticker=KRUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "KRUS", "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-operating-expenses&ticker=KRUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();