Noble Romans (NROM) Total Non-Current Liabilities (2010 - 2026)
Noble Romans' Total Non-Current Liabilities was $4 million in Q1 2026, down 63.1% from $10.84 million a year earlier and down 6.1% from the prior quarter.
Noble Romans (NROM) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Noble Romans came in at $4.26 million, down 62.1% from FY2024.
- Total Non-Current Liabilities has now declined for four consecutive years, with a five-year compound annual growth rate of -22.0% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $11.24 million in FY2024 (-11.3%), $12.66 million in FY2023 (-10.4%), $14.13 million in FY2022 (-5.2%) and $14.91 million in FY2021 (+0.9%).
- The Q1 2026 figure marks the lowest quarterly Total Non-Current Liabilities since Q2 2017.
- Compared with a year earlier, Total Non-Current Liabilities has declined for three straight quarters, with an average decline of 11.7% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q1 2025 (growth of 89.4%); the worst was Q1 2026 (a decline of 63.1%).
- Per Business Quant data, NROM's Total Non-Current Liabilities in the three quarters before Q1 2026 was $4.26 million (Q4 2025), $4.47 million (Q3 2025) and $10.31 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 60.27 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | - |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 6.58 Bn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 13.75 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 18.73 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 8.71 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 18.73 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 4.65 Bn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 1.88 Bn |
| 10 | Noble Romans | 12.70 Mn | 12.70 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 4.00 Mn |
| Dec 31, 2025 | 4.26 Mn |
| Sep 30, 2025 | 4.47 Mn |
| Jun 30, 2025 | 10.31 Mn |
| Mar 31, 2025 | 10.84 Mn |
| Dec 31, 2024 | 11.24 Mn |
| Sep 30, 2024 | 5.29 Mn |
| Jun 30, 2024 | 5.53 Mn |
| Mar 31, 2024 | 5.72 Mn |
| Dec 31, 2023 | 12.66 Mn |
| Sep 30, 2023 | 12.77 Mn |
| Jun 30, 2023 | 13.49 Mn |
| Mar 31, 2023 | 13.86 Mn |
| Dec 31, 2022 | 14.13 Mn |
| Sep 30, 2022 | 14.85 Mn |
| Jun 30, 2022 | 15.00 Mn |
| Mar 31, 2022 | 15.22 Mn |
| Dec 31, 2021 | 14.91 Mn |
| Sep 30, 2021 | 14.73 Mn |
| Jun 30, 2021 | 14.74 Mn |
Noble Romans Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=NROM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "NROM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=NROM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();