Nathans Famous (NATH) Receivables (2011 - 2026)
Nathans Famous (NATH) posted Receivables of $31.28 million for fiscal Q1 2027 (quarter ended Jun 28, 2026), up 19.0% from $26.27 million a year earlier and up 57.6% from the prior quarter.
Nathans Famous (NATH) Receivables (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 29, 2026), Nathans Famous' Receivables came in at $19.84 million, up 41.1% from FY2025.
- Annual Receivables shows a five-year compound annual growth rate of 11.2% (FY2021 to FY2026).
- In prior fiscal years, Nathans Famous' Receivables was $14.06 million in FY2025 (-4.5%), $14.73 million in FY2024 (-2.2%), $15.07 million in FY2023 (+12.7%) and $13.37 million in FY2022 (+14.8%).
- The fiscal Q1 2027 figure stands as the highest quarterly Receivables in data going back to fiscal Q4 2011.
- On a year-over-year basis, Receivables has increased in each of the last five quarters, with growth averaging 18.7% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was fiscal Q2 2022, with growth of 65.2%; the weakest was fiscal Q3 2023, with a decline of 8.0%.
- According to Business Quant data, Receivables for the three prior fiscal quarters was $19.84 million (Q4 2026), $17.73 million (Q3 2026) and $21.61 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.50 Bn | 169.32 Bn | 6.42 Bn | 2.49 Bn |
| 2 | Starbucks | 113.12 Bn | 100.74 Bn | - | 1.30 Bn |
| 3 | Yum Brands | 41.68 Bn | 38.56 Bn | 1.47 Bn | 623.00 Mn |
| 4 | Chipotle Mexican Grill | 37.78 Bn | 33.76 Bn | - | 100.31 Mn |
| 5 | Restaurant Brands International | 26.16 Bn | 21.71 Bn | 1.38 Bn | 800.00 Mn |
| 6 | Darden Restaurants | 24.73 Bn | 23.83 Bn | 1.68 Bn | 118.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 800.00 Mn |
| 8 | Yum China Holdings | 15.70 Bn | 9.35 Bn | 537.00 Mn | 115.00 Mn |
| 9 | Texas Roadhouse | 11.11 Bn | 10.45 Bn | - | 74.14 Mn |
| 10 | Nathans Famous | 417.49 Mn | 311.68 Mn | 18.86 Mn | 31.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 31.28 Mn |
| Mar 29, 2026 | 19.84 Mn |
| Dec 28, 2025 | 17.73 Mn |
| Sep 28, 2025 | 21.61 Mn |
| Jun 29, 2025 | 26.27 Mn |
| Mar 30, 2025 | 14.06 Mn |
| Dec 29, 2024 | 14.74 Mn |
| Sep 29, 2024 | 15.67 Mn |
| Jun 30, 2024 | 20.47 Mn |
| Mar 31, 2024 | 14.73 Mn |
| Dec 24, 2023 | 13.59 Mn |
| Sep 24, 2023 | 15.76 Mn |
| Jun 25, 2023 | 20.97 Mn |
| Mar 26, 2023 | 15.07 Mn |
| Dec 25, 2022 | 13.04 Mn |
| Sep 25, 2022 | 16.17 Mn |
| Jun 26, 2022 | 20.85 Mn |
| Mar 27, 2022 | 13.37 Mn |
| Dec 26, 2021 | 14.18 Mn |
| Sep 26, 2021 | 14.82 Mn |
Nathans Famous Receivables 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=receivables&ticker=NATH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=NATH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();