Nathans Famous (NATH) Tax Provisions (2010 - 2026)
Nathans Famous' Tax Provisions was $3.33 million in fiscal Q1 2027 (quarter ended Jun 28, 2026), up 0.2% from $3.33 million a year earlier and up 146.1% from the prior quarter.
Nathans Famous (NATH) Tax Provisions (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Nathans Famous' Tax Provisions was $8.18 million through Jun 28, 2026, down 4.5% year-over-year; for FY2026 (ended Mar 29, 2026), it was $8.17 million, down 6.5% from FY2025.
- Tax Provisions shows a five-year compound annual growth rate of 14.0% (FY2021 to FY2026).
- In earlier fiscal years, Tax Provisions was $8.74 million in FY2025 (+11.5%), $7.84 million in FY2024 (+9.1%), $7.18 million in FY2023 (+45.4%) and $4.94 million in FY2022 (+16.2%).
- The fiscal Q1 2027 figure marks the highest quarterly Tax Provisions since fiscal Q1 2025.
- Compared with a year earlier, Tax Provisions was higher in three of the last eight quarters, with an average decline of 0.3%.
- The best year-over-year quarter for Tax Provisions over five years was fiscal Q4 2023 (growth of 135.0%); the worst was fiscal Q4 2022 (a decline of 41.7%).
- Per Business Quant data, NATH's Tax Provisions in the three fiscal quarters before Q1 2027 was $1.36 million (Q4 2026), $1.66 million (Q3 2026) and $1.82 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 574.00 Mn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 374.40 Mn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 129.73 Mn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | -320.00 Mn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | -73.00 Mn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 57.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | -73.00 Mn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 92.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 19.48 Mn |
| 10 | Nathans Famous | 415.63 Mn | 309.82 Mn | 18.86 Mn | 3.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 3.33 Mn |
| Mar 29, 2026 | 1.36 Mn |
| Dec 28, 2025 | 1.66 Mn |
| Sep 28, 2025 | 1.82 Mn |
| Jun 29, 2025 | 3.33 Mn |
| Mar 30, 2025 | 1.58 Mn |
| Dec 29, 2024 | 1.58 Mn |
| Sep 29, 2024 | 2.07 Mn |
| Jun 30, 2024 | 3.51 Mn |
| Mar 31, 2024 | 1.81 Mn |
| Dec 24, 2023 | 1.13 Mn |
| Sep 24, 2023 | 2.15 Mn |
| Jun 25, 2023 | 2.74 Mn |
| Mar 26, 2023 | 1.09 Mn |
| Dec 25, 2022 | 1.22 Mn |
| Sep 25, 2022 | 2.13 Mn |
| Jun 26, 2022 | 2.74 Mn |
| Mar 27, 2022 | 463,000.00 |
| Dec 26, 2021 | 860,000.00 |
| Sep 26, 2021 | 1.28 Mn |
Nathans Famous Tax Provisions 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=tax-provisions&ticker=NATH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=NATH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();