Nathans Famous (NATH) Revenue (2010 - 2026)
Nathans Famous (NATH) posted Revenue of $54.06 million for fiscal Q1 2027 (quarter ended Jun 28, 2026), up 15.0% from $47 million a year earlier and up 54.2% from the prior quarter.
Nathans Famous (NATH) Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Revenue at Nathans Famous was $169.13 million, up 12.4% year-over-year; for FY2026 (ended Mar 29, 2026), it came in at $162.06 million, up 9.4% from FY2025.
- Annual Revenue has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 16.4% (FY2021 to FY2026).
- In prior fiscal years, Nathans Famous' Revenue was $148.18 million in FY2025 (+6.9%), $138.61 million in FY2024 (+6.0%), $130.79 million in FY2023 (+13.8%) and $114.88 million in FY2022 (+51.5%).
- The fiscal Q1 2027 figure stands as the highest quarterly Revenue in data going back to fiscal Q1 2011.
- On a year-over-year basis, Revenue has increased in each of the last 21 quarters, with growth averaging 9.4% over the last eight quarters.
- The year-over-year growth in Revenue has ranged between 0.9% (fiscal Q3 2023) and 50.5% (fiscal Q2 2022) over the last five years.
- According to Business Quant data, Revenue for the three prior fiscal quarters was $35.07 million (Q4 2026), $34.31 million (Q3 2026) and $45.69 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 7.10 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 9.32 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 3.35 Bn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 2.17 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 2.52 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 3.72 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.52 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 3.14 Bn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 1.68 Bn |
| 10 | Nathans Famous | 416.12 Mn | 310.31 Mn | 18.86 Mn | 54.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 54.06 Mn |
| Mar 29, 2026 | 35.07 Mn |
| Dec 28, 2025 | 34.31 Mn |
| Sep 28, 2025 | 45.69 Mn |
| Jun 29, 2025 | 47.00 Mn |
| Mar 30, 2025 | 30.79 Mn |
| Dec 29, 2024 | 31.52 Mn |
| Sep 29, 2024 | 41.11 Mn |
| Jun 30, 2024 | 44.77 Mn |
| Mar 31, 2024 | 28.99 Mn |
| Dec 24, 2023 | 28.89 Mn |
| Sep 24, 2023 | 38.74 Mn |
| Jun 25, 2023 | 41.99 Mn |
| Mar 26, 2023 | 27.41 Mn |
| Dec 25, 2022 | 26.15 Mn |
| Sep 25, 2022 | 37.50 Mn |
| Jun 26, 2022 | 39.72 Mn |
| Mar 27, 2022 | 24.77 Mn |
| Dec 26, 2021 | 25.91 Mn |
| Sep 26, 2021 | 32.88 Mn |
Nathans Famous Revenue 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=revenue&ticker=NATH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=NATH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();