Noble Romans (NROM) EBITDA (2010 - 2026)
Noble Romans' EBITDA was $669,139 in Q1 2026, down 3.3% from $691,787 a year earlier but up 149.0% from the prior quarter.
Powered by 
Analysis
Noble Romans (NROM) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Noble Romans' EBITDA was $2.78 million through Mar 31, 2026, up 37.7% year-over-year; for FY2025, it came in at $2.8 million, up 37.8% from FY2024.
- EBITDA shows a five-year compound annual growth rate of -5.7% (FY2020 to FY2025).
- In earlier years, EBITDA was $2.03 million in FY2024 (-46.9%), $3.82 million in FY2023 (+335.5%), $878,266 in FY2022 (-71.4%) and $3.07 million in FY2021 (-18.0%).
- Quarterly EBITDA has moved between -$651,361 (Q4 2022) and $1.72 million (Q1 2023) over five years.
- Compared with a year earlier, EBITDA was higher in three of the last eight quarters, with growth averaging 17.8%.
- The best year-over-year quarter for EBITDA over five years was Q1 2023 (growth of 336.8%); the worst was Q1 2022 (a decline of 72.7%).
- Per Business Quant data, NROM's EBITDA in the three quarters before Q1 2026 was $268,738 (Q4 2025), $916,472 (Q3 2025) and $920,900 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.50 Bn | 169.32 Bn | 6.42 Bn | 3.90 Bn |
| 2 | Starbucks | 113.12 Bn | 100.74 Bn | - | 1.37 Bn |
| 3 | Yum Brands | 41.68 Bn | 38.56 Bn | 1.47 Bn | 715.00 Mn |
| 4 | Chipotle Mexican Grill | 37.78 Bn | 33.76 Bn | - | 623.92 Mn |
| 5 | Restaurant Brands International | 26.16 Bn | 21.71 Bn | 1.38 Bn | 799.00 Mn |
| 6 | Darden Restaurants | 24.73 Bn | 23.83 Bn | 1.68 Bn | 463.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 799.00 Mn |
| 8 | Yum China Holdings | 15.70 Bn | 9.35 Bn | 537.00 Mn | 468.00 Mn |
| 9 | Texas Roadhouse | 11.11 Bn | 10.45 Bn | - | 201.13 Mn |
| 10 | Noble Romans | 12.92 Mn | 12.92 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 669,139.00 |
| Dec 31, 2025 | 268,738.00 |
| Sep 30, 2025 | 1.18 Mn |
| Jun 30, 2025 | 920,900.00 |
| Mar 31, 2025 | 691,787.00 |
| Dec 31, 2024 | 181,589.00 |
| Sep 30, 2024 | 420,272.00 |
| Jun 30, 2024 | 768,471.00 |
| Mar 31, 2024 | 660,072.00 |
| Dec 31, 2023 | 656,380.00 |
| Sep 30, 2023 | 506,463.00 |
| Jun 30, 2023 | 918,887.00 |
| Mar 31, 2023 | 1.75 Mn |
| Dec 31, 2022 | -173,755.00 |
| Sep 30, 2022 | 642,669.00 |
| Jun 30, 2022 | 522,848.00 |
| Mar 31, 2022 | 400,052.00 |
| Dec 31, 2021 | 531,167.00 |
| Sep 30, 2021 | 535,021.00 |
| Jun 30, 2021 | 685,846.00 |
API Access
Noble Romans EBITDA 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=ebitda&ticker=NROM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=NROM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();