Noble Romans (NROM) Operating Expenses (2010 - 2026)
Noble Romans (NROM) reported Operating Expenses of $3.35 million for Q1 2026, up 2.9% from $3.26 million a year earlier but down 22.1% from the prior quarter.
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Analysis
Noble Romans (NROM) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Noble Romans' Operating Expenses came in at $14.15 million, up 3.3% year-over-year; for FY2025, it came in at $14.06 million, up 2.8% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 14.6% (FY2020 to FY2025).
- By year, Operating Expenses came in at $13.67 million in FY2024 (+25.1%), $10.93 million in FY2023 (-4.1%), $11.41 million in FY2022 (+20.1%) and $9.5 million in FY2021 (+33.4%).
- Five-year quarterly Operating Expenses spans a low of $1.17 million in Q1 2023 and a high of $4.31 million in Q4 2025.
- Year over year, Operating Expenses gained in six of the last eight quarters, with growth averaging 8.3%.
- The high point for year-over-year Operating Expenses in five years was Q1 2024 (growth of 176.9%); the low point was Q1 2023 (a decline of 56.0%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $4.31 million (Q4 2025), $3.32 million (Q3 2025) and $3.17 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.16 Bn | 168.98 Bn | 6.42 Bn | 3.76 Bn |
| 2 | Starbucks | 112.39 Bn | 100.02 Bn | - | 8.42 Bn |
| 3 | Yum Brands | 41.31 Bn | 38.20 Bn | 1.47 Bn | 1.51 Bn |
| 4 | Chipotle Mexican Grill | 36.17 Bn | 32.15 Bn | - | 2.82 Bn |
| 5 | Restaurant Brands International | 26.03 Bn | 21.59 Bn | 1.38 Bn | 1.80 Bn |
| 6 | Darden Restaurants | 24.43 Bn | 23.53 Bn | 1.68 Bn | 2.88 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.80 Bn |
| 8 | Yum China Holdings | 15.44 Bn | 9.10 Bn | 537.00 Mn | 2.79 Bn |
| 9 | Texas Roadhouse | 10.99 Bn | 10.33 Bn | - | 1.54 Bn |
| 10 | Noble Romans | 13.60 Mn | 13.60 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 3.35 Mn |
| Dec 31, 2025 | 4.31 Mn |
| Sep 30, 2025 | 3.32 Mn |
| Jun 30, 2025 | 3.17 Mn |
| Mar 31, 2025 | 3.26 Mn |
| Dec 31, 2024 | 3.63 Mn |
| Sep 30, 2024 | 3.46 Mn |
| Jun 30, 2024 | 3.35 Mn |
| Mar 31, 2024 | 3.23 Mn |
| Dec 31, 2023 | 2.64 Mn |
| Sep 30, 2023 | 3.23 Mn |
| Jun 30, 2023 | 3.09 Mn |
| Mar 31, 2023 | 1.17 Mn |
| Dec 31, 2022 | 3.04 Mn |
| Sep 30, 2022 | 2.90 Mn |
| Jun 30, 2022 | 2.82 Mn |
| Mar 31, 2022 | 2.65 Mn |
| Dec 31, 2021 | 2.80 Mn |
| Sep 30, 2021 | 2.51 Mn |
| Jun 30, 2021 | 2.54 Mn |
API Access
Noble Romans Operating Expenses 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=operating-expenses&ticker=NROM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=NROM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();