Nathans Famous (NATH) EV to EBITDA (2014 - 2026)
Nathans Famous' (NATH) EV to EBITDA came in at 12.73 for fiscal Q1 2027 (quarter ended Jun 28, 2026), up 9.3% from 11.65 a year earlier and up 1.9% from the prior quarter.
Nathans Famous (NATH) EV to EBITDA (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, EV to EBITDA at Nathans Famous was 10.11, up 7.8% year-over-year; for FY2026 (ended Mar 29, 2026), it came in at 12.50, up 30.1% from FY2025.
- Annual EV to EBITDA has increased for four consecutive fiscal years.
- In prior fiscal years, Nathans Famous' EV to EBITDA was 9.61 in FY2025 (+20.5%), 7.97 in FY2024 (+6.6%), 7.48 in FY2023 (+31.2%) and 5.70 in FY2022 (-21.7%).
- The fiscal Q1 2027 figure stands as the highest quarterly EV to EBITDA since fiscal Q4 2015.
- On a year-over-year basis, EV to EBITDA has increased in each of the last six quarters, with growth averaging 26.6% over the last eight quarters.
- The strongest year-over-year quarter for EV to EBITDA in the past five years was fiscal Q1 2026, with growth of 66.5%; the weakest was fiscal Q4 2022, with a decline of 21.7%.
- According to Business Quant data, EV to EBITDA for the three prior fiscal quarters was 12.50 (Q4 2026), 11.05 (Q3 2026) and 12.05 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 174.41 Bn | 169.23 Bn | 6.42 Bn |
| 2 | Starbucks | 112.93 Bn | 100.55 Bn | - |
| 3 | Yum Brands | 41.62 Bn | 38.50 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 35.98 Bn | 31.96 Bn | - |
| 5 | Restaurant Brands International | 25.83 Bn | 21.38 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.40 Bn | 23.49 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.50 Bn | 9.16 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 11.02 Bn | 10.36 Bn | - |
| 10 | Nathans Famous | 417.44 Mn | 311.63 Mn | 18.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 12.70 |
| Mar 29, 2026 | 12.47 |
| Dec 28, 2025 | 11.03 |
| Sep 28, 2025 | 12.02 |
| Jun 29, 2025 | 11.62 |
| Mar 30, 2025 | 9.57 |
| Dec 29, 2024 | 7.85 |
| Sep 29, 2024 | 8.23 |
| Jun 30, 2024 | 6.93 |
| Mar 31, 2024 | 7.89 |
| Dec 24, 2023 | 8.87 |
| Sep 24, 2023 | 7.25 |
| Jun 25, 2023 | 7.80 |
| Mar 26, 2023 | 7.37 |
| Dec 25, 2022 | 6.05 |
| Sep 25, 2022 | 5.90 |
| Jun 26, 2022 | 5.81 |
| Mar 27, 2022 | 5.58 |
| Dec 26, 2021 | 5.20 |
| Sep 26, 2021 | 5.87 |
Nathans Famous EV to EBITDA 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=ev-to-ebitda&ticker=NATH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=NATH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();