Nathans Famous (NATH) Operating Leases (2019 - 2026)
Nathans Famous (NATH) posted Operating Leases of $1.51 million for fiscal Q1 2027 (quarter ended Jun 28, 2026), down 50.9% from $3.08 million a year earlier and down 24.6% from the prior quarter.
Powered by 
Analysis
Nathans Famous (NATH) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 29, 2026), Nathans Famous' Operating Leases came in at $2 million, down 43.2% from FY2025.
- Annual Operating Leases has declined for six consecutive fiscal years, with a five-year compound annual growth rate of -23.3% (FY2021 to FY2026).
- In prior fiscal years, Nathans Famous' Operating Leases was $3.53 million in FY2025 (-28.5%), $4.94 million in FY2024 (-8.7%), $5.41 million in FY2023 (-16.7%) and $6.49 million in FY2022 (-14.1%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Operating Leases in data going back to fiscal Q1 2020.
- On a year-over-year basis, Operating Leases has declined in each of the last 23 quarters, with an average decline of 35.0% over the last eight quarters.
- The year-over-year decline in Operating Leases has ranged between 6.0% (fiscal Q2 2024) and 50.9% (fiscal Q1 2027) over the last five years.
- According to Business Quant data, Operating Leases for the three prior fiscal quarters was $2 million (Q4 2026), $2.32 million (Q3 2026) and $2.63 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 174.50 Bn | 169.32 Bn | 6.42 Bn |
| 2 | Starbucks | 113.12 Bn | 100.74 Bn | - |
| 3 | Yum Brands | 41.68 Bn | 38.56 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 37.78 Bn | 33.76 Bn | - |
| 5 | Restaurant Brands International | 26.16 Bn | 21.71 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.73 Bn | 23.83 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.70 Bn | 9.35 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 11.11 Bn | 10.45 Bn | - |
| 10 | Nathans Famous | 417.49 Mn | 311.68 Mn | 18.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.51 Mn |
| Mar 29, 2026 | 2.00 Mn |
| Dec 28, 2025 | 2.32 Mn |
| Sep 28, 2025 | 2.63 Mn |
| Jun 29, 2025 | 3.08 Mn |
| Mar 30, 2025 | 3.53 Mn |
| Dec 29, 2024 | 3.81 Mn |
| Sep 29, 2024 | 4.08 Mn |
| Jun 30, 2024 | 4.51 Mn |
| Mar 31, 2024 | 4.94 Mn |
| Dec 24, 2023 | 5.17 Mn |
| Sep 24, 2023 | 5.41 Mn |
| Jun 25, 2023 | 5.06 Mn |
| Mar 26, 2023 | 5.41 Mn |
| Dec 25, 2022 | 5.58 Mn |
| Sep 25, 2022 | 5.75 Mn |
| Jun 26, 2022 | 6.12 Mn |
| Mar 27, 2022 | 6.49 Mn |
| Dec 26, 2021 | 6.68 Mn |
| Sep 26, 2021 | 6.87 Mn |
API Access
Nathans Famous 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=NATH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "NATH", "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=NATH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();