Nathans Famous (NATH) Cash & Equivalents (2010 - 2026)
Nathans Famous (NATH) recorded Cash & Equivalents of $24.69 million in fiscal Q1 2027 (quarter ended Jun 28, 2026), down 8.1% from $26.87 million a year earlier but up 1.2% from the prior quarter.
Nathans Famous (NATH) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 29, 2026), Nathans Famous reported Cash & Equivalents of $24.4 million, down 12.2% from FY2025.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -21.3% (FY2021 to FY2026).
- Across earlier fiscal years, Cash & Equivalents came in at $27.8 million in FY2025 (+32.2%), $21.03 million in FY2024 (-29.6%), $29.86 million in FY2023 (-40.4%) and $50.06 million in FY2022 (-38.2%).
- Quarterly Cash & Equivalents has ranged from $16.73 million in fiscal Q3 2024 to $86.76 million in fiscal Q2 2022 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in five of the last eight quarters, with growth averaging 6.0%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 41.7% in fiscal Q3 2025, against a decline of 69.8% in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $24.4 million (Q4 2026), $24.55 million (Q3 2026) and $32.18 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 822.00 Mn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | 3.45 Bn |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | 228.20 Mn |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 674.00 Mn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 1.06 Bn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | 220.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.06 Bn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 485.00 Mn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | 202.43 Mn |
| 10 | Nathans Famous | 415.87 Mn | 310.06 Mn | 18.86 Mn | 24.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 24.69 Mn |
| Mar 29, 2026 | 24.40 Mn |
| Dec 28, 2025 | 24.55 Mn |
| Sep 28, 2025 | 32.18 Mn |
| Jun 29, 2025 | 26.87 Mn |
| Mar 30, 2025 | 27.80 Mn |
| Dec 29, 2024 | 23.71 Mn |
| Sep 29, 2024 | 31.21 Mn |
| Jun 30, 2024 | 25.98 Mn |
| Mar 31, 2024 | 21.03 Mn |
| Dec 24, 2023 | 16.73 Mn |
| Sep 24, 2023 | 36.98 Mn |
| Jun 25, 2023 | 31.94 Mn |
| Mar 26, 2023 | 29.86 Mn |
| Dec 25, 2022 | 55.45 Mn |
| Sep 25, 2022 | 53.86 Mn |
| Jun 26, 2022 | 47.67 Mn |
| Mar 27, 2022 | 50.06 Mn |
| Dec 26, 2021 | 86.17 Mn |
| Sep 26, 2021 | 86.76 Mn |
Nathans Famous Cash & Equivalents 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=cash-and-equivalents&ticker=NATH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=NATH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();