Nathans Famous (NATH) Total Debt (2015 - 2026)
Nathans Famous' Total Debt was $47.56 million in fiscal Q1 2027 (quarter ended Jun 28, 2026), down 4.7% from $49.89 million a year earlier and down 1.2% from the prior quarter.
Nathans Famous (NATH) Total Debt (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 29, 2026), Total Debt at Nathans Famous came in at $48.14 million, down 4.6% from FY2025.
- Total Debt has now declined for five consecutive fiscal years, with a five-year compound annual growth rate of -20.0% (FY2021 to FY2026).
- In earlier fiscal years, Total Debt was $50.47 million in FY2025 (-15.3%), $59.56 million in FY2024 (-24.7%), $79.05 million in FY2023 (-26.9%) and $108.18 million in FY2022 (-26.3%).
- The fiscal Q1 2027 figure marks the lowest quarterly Total Debt in data going back to fiscal Q4 2015.
- Compared with a year earlier, Total Debt has declined for 18 straight quarters, with an average decline of 12.7% over the last eight quarters.
- The best year-over-year quarter for Total Debt over five years was fiscal Q2 2022 (growth of 0.5%); the worst was fiscal Q3 2024 (a decline of 45.2%).
- Per Business Quant data, NATH's Total Debt in the three fiscal quarters before Q1 2027 was $48.14 million (Q4 2026), $48.73 million (Q3 2026) and $49.31 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 39.86 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 13.28 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | - |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 12.28 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 13.29 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 693.60 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 13.29 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 66.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 50.00 Mn |
| 10 | Nathans Famous | 415.63 Mn | 309.82 Mn | 18.86 Mn | 47.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 47.56 Mn |
| Mar 29, 2026 | 48.14 Mn |
| Dec 28, 2025 | 48.73 Mn |
| Sep 28, 2025 | 49.31 Mn |
| Jun 29, 2025 | 49.89 Mn |
| Mar 30, 2025 | 50.47 Mn |
| Dec 29, 2024 | 51.06 Mn |
| Sep 29, 2024 | 59.59 Mn |
| Jun 30, 2024 | 59.63 Mn |
| Mar 31, 2024 | 59.56 Mn |
| Dec 24, 2023 | 59.49 Mn |
| Sep 24, 2023 | 79.23 Mn |
| Jun 25, 2023 | 79.14 Mn |
| Mar 26, 2023 | 79.05 Mn |
| Dec 25, 2022 | 108.56 Mn |
| Sep 25, 2022 | 108.44 Mn |
| Jun 26, 2022 | 108.31 Mn |
| Mar 27, 2022 | 108.18 Mn |
| Dec 26, 2021 | 147.35 Mn |
| Sep 26, 2021 | 147.18 Mn |
Nathans Famous Total Debt 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=total-debt&ticker=NATH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=NATH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();