Noble Romans (NROM) Return on Sales [ROS] (2010 - 2026)
Noble Romans (NROM) reported Return on Sales [ROS] of 14.10% for Q1 2026, up 0.76 percentage points from 13.34% a year earlier and up 10.29 percentage points from the prior quarter.
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Analysis
Noble Romans (NROM) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Noble Romans' Return on Sales [ROS] came in at 14.78%, up 4.65 percentage points year-over-year; for FY2025, it came in at 14.61%, up 4.88 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -5.45 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 9.74% in FY2024 (-14.19 pp), 23.93% in FY2023 (+20.97 pp), 2.96% in FY2022 (-9.60 pp) and 12.56% in FY2021 (-7.50 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -11.86% in Q4 2022 and a high of 46.13% in Q1 2023.
- Year over year, Return on Sales [ROS] has now increased in each of the last five quarters, with an average year-over-year change of -0.61 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q1 2023 (a gain of 41.53 percentage points); the low point was Q1 2024 (a drop of 34.34 percentage points).
- Per Business Quant data, the three quarters before Q1 2026 came in at 3.81% (Q4 2025), 19.77% (Q3 2025) and 22.40% (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 47.02% |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | 10.52% |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | 15.70% |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 30.20% |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 28.41% |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | 9.98% |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 28.41% |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 11.09% |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | 8.50% |
| 10 | Noble Romans | 14.96 Mn | 14.96 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 14.10% |
| Dec 31, 2025 | 3.81% |
| Sep 30, 2025 | 19.77% |
| Jun 30, 2025 | 22.40% |
| Mar 31, 2025 | 13.34% |
| Dec 31, 2024 | 1.85% |
| Sep 30, 2024 | 10.74% |
| Jun 30, 2024 | 14.29% |
| Mar 31, 2024 | 11.79% |
| Dec 31, 2023 | 20.87% |
| Sep 30, 2023 | 13.74% |
| Jun 30, 2023 | 18.56% |
| Mar 31, 2023 | 46.13% |
| Dec 31, 2022 | -11.86% |
| Sep 30, 2022 | 9.77% |
| Jun 30, 2022 | 7.51% |
| Mar 31, 2022 | 4.59% |
| Dec 31, 2021 | -2.95% |
| Sep 30, 2021 | 7.70% |
| Jun 30, 2021 | 11.83% |
API Access
Noble Romans Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=NROM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=NROM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();