Noble Romans (NROM) Revenue (2010 - 2026)
Noble Romans (NROM) recorded Revenue of $3.9 million in Q1 2026, up 3.8% from $3.76 million a year earlier but down 12.8% from the prior quarter.
Noble Romans (NROM) Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Noble Romans' Revenue came in at $16.61 million as of Mar 31, 2026, up 8.9% year-over-year; for FY2025, it came in at $16.46 million, up 8.7% from FY2024.
- Annual Revenue has a five-year compound annual growth rate of 7.4% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $15.15 million in FY2024 (+5.4%), $14.37 million in FY2023 (-0.5%), $14.45 million in FY2022 (+4.1%) and $13.88 million in FY2021 (+20.4%).
- Quarterly Revenue has ranged from $3,594 in Q4 2021 to $4.48 million in Q4 2025 over the past five years.
- On a year-over-year basis, Revenue has increased for ten consecutive quarters, with growth averaging 7.0% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 37.3% in Q2 2021, against a decline of 99.9% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.48 million (Q4 2025), $4.14 million (Q3 2025) and $4.08 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 7.10 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 9.32 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 3.35 Bn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 2.17 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 2.52 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 3.72 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.52 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 3.14 Bn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 1.68 Bn |
| 10 | Noble Romans | 12.70 Mn | 12.70 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 3.90 Mn |
| Dec 31, 2025 | 4.48 Mn |
| Sep 30, 2025 | 4.14 Mn |
| Jun 30, 2025 | 4.08 Mn |
| Mar 31, 2025 | 3.76 Mn |
| Dec 31, 2024 | 3.70 Mn |
| Sep 30, 2024 | 3.88 Mn |
| Jun 30, 2024 | 3.90 Mn |
| Mar 31, 2024 | 3.67 Mn |
| Dec 31, 2023 | 3.33 Mn |
| Sep 30, 2023 | 3.74 Mn |
| Jun 30, 2023 | 3.80 Mn |
| Mar 31, 2023 | 3.31 Mn |
| Dec 31, 2022 | 3.33 Mn |
| Sep 30, 2022 | 3.91 Mn |
| Jun 30, 2022 | 3.75 Mn |
| Mar 31, 2022 | 3.47 Mn |
| Dec 31, 2021 | 3,594.00 |
| Sep 30, 2021 | 3.42 Mn |
| Jun 30, 2021 | 3.58 Mn |
Noble Romans Revenue 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=revenue&ticker=NROM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=NROM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();