Kura Sushi Usa (KRUS) Operating Expenses (2018 - 2026)
Kura Sushi Usa (KRUS) recorded Operating Expenses of $85.96 million in fiscal Q3 2026 (quarter ended May 31, 2026), up 16.0% from $74.13 million a year earlier and up 4.5% from the prior quarter.
Kura Sushi Usa (KRUS) Operating Expenses (2018 - 2026) Analysis & Trends
On a TTM basis, Kura Sushi Usa's Operating Expenses came in at $323.33 million as of May 31, 2026, up 14.9% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $287.52 million, up 15.3% from FY2024.
- Annual Operating Expenses has increased for five straight fiscal years, with a five-year compound annual growth rate of 36.1% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $249.37 million in FY2024 (+33.3%), $187.1 million in FY2023 (+31.9%), $141.84 million in FY2022 (+89.4%) and $74.88 million in FY2021 (+21.4%).
- The fiscal Q3 2026 figure is the highest quarterly Operating Expenses in data going back to fiscal Q1 2019.
- On a year-over-year basis, Operating Expenses has increased for 21 consecutive quarters, with growth averaging 18.8% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Expenses ran from 8.6% in fiscal Q4 2025 to 157.4% in fiscal Q2 2022.
- Per Business Quant, the preceding three fiscal quarters came in at $82.25 million (Q2 2026), $77.14 million (Q1 2026) and $77.98 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.50 Bn | 169.32 Bn | 6.42 Bn | 3.76 Bn |
| 2 | Starbucks | 113.12 Bn | 100.74 Bn | - | 8.42 Bn |
| 3 | Yum Brands | 41.68 Bn | 38.56 Bn | 1.47 Bn | 1.51 Bn |
| 4 | Chipotle Mexican Grill | 37.78 Bn | 33.76 Bn | - | 2.82 Bn |
| 5 | Restaurant Brands International | 26.16 Bn | 21.71 Bn | 1.38 Bn | 1.80 Bn |
| 6 | Darden Restaurants | 24.73 Bn | 23.83 Bn | 1.68 Bn | 2.88 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.80 Bn |
| 8 | Yum China Holdings | 15.70 Bn | 9.35 Bn | 537.00 Mn | 2.79 Bn |
| 9 | Texas Roadhouse | 11.11 Bn | 10.45 Bn | - | 1.54 Bn |
| 10 | Kura Sushi Usa | 451.10 Mn | 245.58 Mn | 27.06 Mn | 85.96 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 85.96 Mn |
| Feb 28, 2026 | 82.25 Mn |
| Nov 30, 2025 | 77.14 Mn |
| Aug 31, 2025 | 77.98 Mn |
| May 31, 2025 | 74.13 Mn |
| Feb 28, 2025 | 69.48 Mn |
| Nov 30, 2024 | 65.93 Mn |
| Aug 31, 2024 | 71.82 Mn |
| May 31, 2024 | 64.25 Mn |
| Feb 29, 2024 | 58.98 Mn |
| Nov 30, 2023 | 54.32 Mn |
| Aug 31, 2023 | 52.70 Mn |
| May 31, 2023 | 47.93 Mn |
| Feb 28, 2023 | 44.99 Mn |
| Nov 30, 2022 | 41.47 Mn |
| Aug 31, 2022 | 40.08 Mn |
| May 31, 2022 | 37.50 Mn |
| Feb 28, 2022 | 33.17 Mn |
| Nov 30, 2021 | 31.10 Mn |
| Aug 31, 2021 | 28.69 Mn |
Kura Sushi Usa 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=operating-expenses&ticker=KRUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=KRUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();