Nathans Famous (NATH) Cost of Revenue (2010 - 2026)
Nathans Famous' Cost of Revenue came in at $35.21 million for fiscal Q1 2027 (quarter ended Jun 28, 2026), up 23.9% from $28.42 million a year earlier and up 55.9% from the prior quarter.
Nathans Famous (NATH) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Nathans Famous reported Cost of Revenue of $113.3 million, up 22.0% year-over-year; for FY2026 (ended Mar 29, 2026), it came in at $106.52 million, up 18.7% from FY2025.
- Cost of Revenue has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 26.8% (FY2021 to FY2026).
- Going back by fiscal year, Cost of Revenue was $89.71 million in FY2025 (+7.8%), $83.18 million in FY2024 (+10.7%), $75.17 million in FY2023 (+15.4%) and $65.16 million in FY2022 (+100.3%).
- The fiscal Q1 2027 figure represents the highest quarterly Cost of Revenue in data going back to fiscal Q1 2011.
- Year-over-year, Cost of Revenue has increased for 14 consecutive quarters, with growth averaging 16.3% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in fiscal Q2 2022 (growth of 102.8%), and the weakest in fiscal Q3 2023 (a decline of 7.0%).
- Business Quant data shows NATH's Cost of Revenue at $22.58 million (Q4 2026), $23.14 million (Q3 2026) and $32.38 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 680.00 Mn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | - |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | - |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 700.00 Mn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 1.14 Bn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | 1.52 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.14 Bn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 2.60 Bn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | - |
| 10 | Nathans Famous | 415.87 Mn | 310.06 Mn | 18.86 Mn | 35.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 35.21 Mn |
| Mar 29, 2026 | 22.58 Mn |
| Dec 28, 2025 | 23.14 Mn |
| Sep 28, 2025 | 32.38 Mn |
| Jun 29, 2025 | 28.42 Mn |
| Mar 30, 2025 | 18.87 Mn |
| Dec 29, 2024 | 19.57 Mn |
| Sep 29, 2024 | 26.03 Mn |
| Jun 30, 2024 | 25.24 Mn |
| Mar 31, 2024 | 16.44 Mn |
| Dec 24, 2023 | 17.87 Mn |
| Sep 24, 2023 | 24.19 Mn |
| Jun 25, 2023 | 24.68 Mn |
| Mar 26, 2023 | 15.68 Mn |
| Dec 25, 2022 | 14.93 Mn |
| Sep 25, 2022 | 21.90 Mn |
| Jun 26, 2022 | 22.67 Mn |
| Mar 27, 2022 | 13.63 Mn |
| Dec 26, 2021 | 16.04 Mn |
| Sep 26, 2021 | 20.13 Mn |
Nathans Famous Cost of 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=cost-of-revenue&ticker=NATH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=NATH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();