Noble Romans (NROM) Depreciation & Amortization (CF) (2010 - 2026)
Noble Romans' Depreciation & Amortization (CF) came in at $89,632 for Q2 2026, compared with $6,901 a year earlier and down 24.5% from the prior quarter.
Noble Romans (NROM) Depreciation & Amortization (CF) (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Noble Romans reported Depreciation & Amortization (CF) of $312,596, up 16.6% year-over-year; for FY2025, it came in at $392,948, down 21.4% from FY2024.
- Depreciation & Amortization (CF) carries a five-year compound annual growth rate of -22.8% (FY2020 to FY2025).
- Going back by year, Depreciation & Amortization (CF) was $499,648 in FY2024 (+31.7%), $379,516 in FY2023 (-15.8%), $450,550 in FY2022 (-66.1%) and $1.33 million in FY2021 (-7.2%).
- The five-year range for quarterly Depreciation & Amortization (CF) is -$256,490 (Q4 2022) to $522,201 (Q4 2021).
- Year-over-year, Depreciation & Amortization (CF) increased in 1 of the last four quarters, with an average decline of 4.4%.
- The fastest year-over-year change in Depreciation & Amortization (CF) over five years came in Q4 2021 (growth of 158.8%), and the weakest in Q2 2025 (a decline of 96.8%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 565.00 Mn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 389.70 Mn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 98.33 Mn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 60.00 Mn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 77.00 Mn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 146.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 77.00 Mn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 120.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 58.34 Mn |
| 10 | Noble Romans | 12.92 Mn | 12.92 Mn | - | 89,632.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 89,632.00 |
| Mar 31, 2026 | 118,656.00 |
| Sep 30, 2025 | 97,407.00 |
| Jun 30, 2025 | 6,901.00 |
| Mar 31, 2025 | 190,148.00 |
| Dec 31, 2024 | 211,014.00 |
| Sep 30, 2024 | -140,015.00 |
| Jun 30, 2024 | 216,598.00 |
| Mar 31, 2024 | 212,051.00 |
| Dec 31, 2023 | 92,967.00 |
| Sep 30, 2023 | -139,019.00 |
| Jun 30, 2023 | 211,530.00 |
| Mar 31, 2023 | 194,857.00 |
| Dec 31, 2022 | -256,490.00 |
| Sep 30, 2022 | 235,427.00 |
| Jun 30, 2022 | 236,802.00 |
| Mar 31, 2022 | 234,811.00 |
| Dec 31, 2021 | 522,201.00 |
| Sep 30, 2021 | 262,706.00 |
| Jun 30, 2021 | 261,842.00 |
Noble Romans Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=NROM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=NROM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();