Nathans Famous (NATH) Change in Accured Expenses (2010 - 2026)
Nathans Famous' Change in Accured Expenses was $3.1 million in fiscal Q1 2027 (quarter ended Jun 28, 2026), up 77.4% from $1.75 million a year earlier and up 9.5% from the prior quarter.
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Analysis
Nathans Famous (NATH) Change in Accured Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Nathans Famous' Change in Accured Expenses was $3.59 million through Jun 28, 2026; for FY2026 (ended Mar 29, 2026), it came in at $2.24 million.
- In earlier fiscal years, Change in Accured Expenses was -$1.23 million in FY2025, -$1.23 million in FY2024, $377,000 in FY2023 (-77.8%) and $1.7 million in FY2022.
- The fiscal Q1 2027 figure marks the highest quarterly Change in Accured Expenses since fiscal Q4 2025.
- Compared with a year earlier, Change in Accured Expenses was higher in two of the last four quarters, with growth averaging 62.7%.
- The best year-over-year quarter for Change in Accured Expenses over five years was fiscal Q1 2025 (growth of 264.1%); the worst was fiscal Q1 2024 (a decline of 86.1%).
- Per Business Quant data, NATH's Change in Accured Expenses in the three fiscal quarters before Q1 2027 was $2.83 million (Q4 2026), -$1.61 million (Q3 2026) and -$727,000 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | - |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | - |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | 100.69 Mn |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 4.00 Mn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | -8.00 Mn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | -51.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | -8.00 Mn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 107.00 Mn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | 15.18 Mn |
| 10 | Nathans Famous | 415.87 Mn | 310.06 Mn | 18.86 Mn | 3.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 3.10 Mn |
| Mar 29, 2026 | 2.83 Mn |
| Dec 28, 2025 | -1.61 Mn |
| Sep 28, 2025 | -727,000.00 |
| Jun 29, 2025 | 1.75 Mn |
| Mar 30, 2025 | 3.11 Mn |
| Dec 29, 2024 | -2.42 Mn |
| Sep 29, 2024 | -2.48 Mn |
| Jun 30, 2024 | 568,000.00 |
| Mar 31, 2024 | 4.16 Mn |
| Dec 24, 2023 | -3.05 Mn |
| Sep 24, 2023 | -2.50 Mn |
| Jun 25, 2023 | 156,000.00 |
| Mar 26, 2023 | 5.23 Mn |
| Dec 25, 2022 | -3.47 Mn |
| Sep 25, 2022 | -2.51 Mn |
| Jun 26, 2022 | 1.12 Mn |
| Mar 27, 2022 | 3.09 Mn |
| Dec 26, 2021 | -2.23 Mn |
| Sep 26, 2021 | 435,000.00 |
API Access
Nathans Famous Change in Accured 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=change-in-accured-expenses&ticker=NATH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=NATH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();