Nathans Famous (NATH) Operating Expenses (2010 - 2026)
Nathans Famous (NATH) posted Operating Expenses of $41.39 million for fiscal Q1 2027 (quarter ended Jun 28, 2026), up 21.0% from $34.21 million a year earlier and up 36.2% from the prior quarter.
Nathans Famous (NATH) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Operating Expenses at Nathans Famous was $139.15 million, up 21.1% year-over-year; for FY2026 (ended Mar 29, 2026), it was $131.96 million, up 18.2% from FY2025.
- Annual Operating Expenses has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 21.3% (FY2021 to FY2026).
- In prior fiscal years, Nathans Famous' Operating Expenses was $111.69 million in FY2025 (+5.3%), $106.1 million in FY2024 (+10.1%), $96.34 million in FY2023 (+13.3%) and $85.02 million in FY2022 (+68.9%).
- The fiscal Q1 2027 figure stands as the highest quarterly Operating Expenses in data going back to fiscal Q1 2011.
- On a year-over-year basis, Operating Expenses has increased in each of the last 14 quarters, with growth averaging 14.4% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q2 2022, with growth of 78.5%; the weakest was fiscal Q3 2023, with a decline of 2.4%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $30.38 million (Q4 2026), $29.19 million (Q3 2026) and $38.19 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.50 Bn | 169.32 Bn | 6.42 Bn | 3.76 Bn |
| 2 | Starbucks | 113.12 Bn | 100.74 Bn | - | 8.42 Bn |
| 3 | Yum Brands | 41.68 Bn | 38.56 Bn | 1.47 Bn | 1.51 Bn |
| 4 | Chipotle Mexican Grill | 37.78 Bn | 33.76 Bn | - | 2.82 Bn |
| 5 | Restaurant Brands International | 26.16 Bn | 21.71 Bn | 1.38 Bn | 1.80 Bn |
| 6 | Darden Restaurants | 24.73 Bn | 23.83 Bn | 1.68 Bn | 2.88 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.80 Bn |
| 8 | Yum China Holdings | 15.70 Bn | 9.35 Bn | 537.00 Mn | 2.79 Bn |
| 9 | Texas Roadhouse | 11.11 Bn | 10.45 Bn | - | 1.54 Bn |
| 10 | Nathans Famous | 417.49 Mn | 311.68 Mn | 18.86 Mn | 41.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 41.39 Mn |
| Mar 29, 2026 | 30.38 Mn |
| Dec 28, 2025 | 29.19 Mn |
| Sep 28, 2025 | 38.19 Mn |
| Jun 29, 2025 | 34.21 Mn |
| Mar 30, 2025 | 24.42 Mn |
| Dec 29, 2024 | 24.77 Mn |
| Sep 29, 2024 | 31.48 Mn |
| Jun 30, 2024 | 31.02 Mn |
| Mar 31, 2024 | 22.19 Mn |
| Dec 24, 2023 | 23.75 Mn |
| Sep 24, 2023 | 29.64 Mn |
| Jun 25, 2023 | 30.52 Mn |
| Mar 26, 2023 | 21.00 Mn |
| Dec 25, 2022 | 19.82 Mn |
| Sep 25, 2022 | 27.58 Mn |
| Jun 26, 2022 | 27.94 Mn |
| Mar 27, 2022 | 18.66 Mn |
| Dec 26, 2021 | 20.30 Mn |
| Sep 26, 2021 | 25.44 Mn |
Nathans Famous Operating Expenses 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=operating-expenses&ticker=NATH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=NATH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();