Nathans Famous (NATH) Return on Sales [ROS] (2010 - 2026)
Nathans Famous' Return on Sales [ROS] came in at 23.43% for fiscal Q1 2027 (quarter ended Jun 28, 2026), down 3.78 percentage points from 27.22% a year earlier but up 10.08 percentage points from the prior quarter.
Nathans Famous (NATH) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Nathans Famous reported Return on Sales [ROS] of 17.73%, down 5.90 percentage points year-over-year; for FY2026 (ended Mar 29, 2026), it was 18.57%, down 6.06 percentage points from FY2025.
- Return on Sales [ROS] carries a five-year change of -15.07 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Sales [ROS] was 24.63% in FY2025 (+1.18 pp), 23.45% in FY2024 (-2.89 pp), 26.34% in FY2023 (+0.34 pp) and 25.99% in FY2022 (-7.65 pp).
- The five-year range for quarterly Return on Sales [ROS] is 13.35% (fiscal Q4 2026) to 30.70% (fiscal Q1 2025).
- Year-over-year, Return on Sales [ROS] has declined for six consecutive quarters, with an average year-over-year change of -3.41 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q2 2023 (a gain of 3.81 percentage points), and the weakest in fiscal Q2 2022 (a drop of 12.10 percentage points).
- Business Quant data shows NATH's Return on Sales [ROS] at 13.35% (Q4 2026), 14.94% (Q3 2026) and 16.42% (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 47.02% |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | 10.52% |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | 15.70% |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 30.20% |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 28.41% |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | 9.98% |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 28.41% |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 11.09% |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | 8.50% |
| 10 | Nathans Famous | 415.87 Mn | 310.06 Mn | 18.86 Mn | 23.43% |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 23.43% |
| Mar 29, 2026 | 13.35% |
| Dec 28, 2025 | 14.94% |
| Sep 28, 2025 | 16.42% |
| Jun 29, 2025 | 27.22% |
| Mar 30, 2025 | 20.68% |
| Dec 29, 2024 | 21.42% |
| Sep 29, 2024 | 23.43% |
| Jun 30, 2024 | 30.70% |
| Mar 31, 2024 | 23.46% |
| Dec 24, 2023 | 17.78% |
| Sep 24, 2023 | 23.50% |
| Jun 25, 2023 | 27.30% |
| Mar 26, 2023 | 23.42% |
| Dec 25, 2022 | 24.21% |
| Sep 25, 2022 | 26.44% |
| Jun 26, 2022 | 29.66% |
| Mar 27, 2022 | 24.66% |
| Dec 26, 2021 | 21.66% |
| Sep 26, 2021 | 22.63% |
Nathans Famous Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=NATH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=NATH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();