Nathans Famous (NATH) Other Operating Expenses (2010 - 2026)
Nathans Famous' Other Operating Expenses came in at $2.01 million for fiscal Q1 2027 (quarter ended Jun 28, 2026), up 9.3% from $1.84 million a year earlier but down 51.4% from the prior quarter.
Nathans Famous (NATH) Other Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Nathans Famous reported Other Operating Expenses of $10.02 million, up 55.8% year-over-year; for FY2026 (ended Mar 29, 2026), it came in at $9.85 million, up 58.7% from FY2025.
- Other Operating Expenses carries a five-year compound annual growth rate of -23.8% (FY2021 to FY2026).
- Going back by fiscal year, Other Operating Expenses was $6.2 million in FY2025 (+7.3%), $5.78 million in FY2024 (-93.0%), $82.28 million in FY2023 (+14.5%) and $71.87 million in FY2022 (+87.7%).
- The five-year range for quarterly Other Operating Expenses is $1.31 million (fiscal Q2 2025) to $26.46 million (fiscal Q1 2024).
- Year-over-year, Other Operating Expenses has increased for five consecutive quarters, with an average decline of 6.3% over the last eight quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in fiscal Q4 2026 (growth of 121.1%), and the weakest in fiscal Q2 2025 (a decline of 95.0%).
- Business Quant data shows NATH's Other Operating Expenses at $4.14 million (Q4 2026), $2.39 million (Q3 2026) and $1.48 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - |
| 10 | Nathans Famous | 415.63 Mn | 309.82 Mn | 18.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 2.01 Mn |
| Mar 29, 2026 | 4.14 Mn |
| Dec 28, 2025 | 2.39 Mn |
| Sep 28, 2025 | 1.48 Mn |
| Jun 29, 2025 | 1.84 Mn |
| Mar 30, 2025 | 1.87 Mn |
| Dec 29, 2024 | 1.40 Mn |
| Sep 29, 2024 | 1.31 Mn |
| Jun 30, 2024 | 1.62 Mn |
| Mar 31, 2024 | 18.07 Mn |
| Dec 24, 2023 | 19.54 Mn |
| Sep 24, 2023 | 26.41 Mn |
| Jun 25, 2023 | 26.46 Mn |
| Mar 26, 2023 | 17.06 Mn |
| Dec 25, 2022 | 16.66 Mn |
| Sep 25, 2022 | 24.21 Mn |
| Jun 26, 2022 | 24.35 Mn |
| Mar 27, 2022 | 15.22 Mn |
| Dec 26, 2021 | 17.33 Mn |
| Sep 26, 2021 | 22.17 Mn |
Nathans Famous Other 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=other-operating-expenses&ticker=NATH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=NATH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();