Kura Sushi Usa (KRUS) Operating Leases (2019 - 2026)
Kura Sushi Usa (KRUS) reported Operating Leases of $192.26 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 25.9% from $152.76 million a year earlier and up 2.4% from the prior quarter.
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Analysis
Kura Sushi Usa (KRUS) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Kura Sushi Usa posted Operating Leases of $155.93 million, up 19.3% from FY2024.
- Operating Leases has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 22.3% (FY2020 to FY2025).
- By fiscal year, Operating Leases came in at $130.68 million in FY2024 (+18.5%), $110.23 million in FY2023 (+34.0%), $82.28 million in FY2022 (+25.0%) and $65.83 million in FY2021 (+15.7%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Operating Leases in data going back to fiscal Q1 2020.
- Year over year, Operating Leases has now increased in each of the last 23 quarters, with growth averaging 23.1% over the last eight quarters.
- The year-over-year growth in Operating Leases has ranged between 15.7% (fiscal Q4 2021) and 39.6% (fiscal Q3 2022) over the last five years.
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $187.71 million (Q2 2026), $172.63 million (Q1 2026) and $155.93 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - |
| 10 | Kura Sushi Usa | 436.75 Mn | 231.23 Mn | 27.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 192.26 Mn |
| Feb 28, 2026 | 187.71 Mn |
| Nov 30, 2025 | 172.63 Mn |
| Aug 31, 2025 | 155.93 Mn |
| May 31, 2025 | 152.76 Mn |
| Feb 28, 2025 | 148.83 Mn |
| Nov 30, 2024 | 141.13 Mn |
| Aug 31, 2024 | 130.68 Mn |
| May 31, 2024 | 123.85 Mn |
| Feb 29, 2024 | 118.94 Mn |
| Nov 30, 2023 | 113.77 Mn |
| Aug 31, 2023 | 110.23 Mn |
| May 31, 2023 | 100.79 Mn |
| Feb 28, 2023 | 94.33 Mn |
| Nov 30, 2022 | 87.52 Mn |
| Aug 31, 2022 | 82.28 Mn |
| May 31, 2022 | 80.68 Mn |
| Feb 28, 2022 | 74.00 Mn |
| Nov 30, 2021 | 65.27 Mn |
| Aug 31, 2021 | 65.83 Mn |
API Access
Kura Sushi Usa Operating Leases 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-leases&ticker=KRUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=KRUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();