Noodles (NDLS) Depreciation & Amortization (CF) (2012 - 2026)
Noodles (NDLS) posted Depreciation & Amortization (CF) of $5.9 million for Q2 2026, down 17.4% from $7.14 million a year earlier and down 1.4% from the prior quarter.
Noodles (NDLS) Depreciation & Amortization (CF) (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation & Amortization (CF) at Noodles was $24.7 million, down 13.5% year-over-year; for FY2025, it was $27.05 million, down 6.9% from FY2024.
- Annual Depreciation & Amortization (CF) shows a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- In prior years, Noodles' Depreciation & Amortization (CF) was $29.07 million in FY2024 (+8.5%), $26.79 million in FY2023 and $22.33 million in FY2021 (+2.9%).
- The Q2 2026 figure stands as the lowest quarterly Depreciation & Amortization (CF) since Q4 2021.
- On a year-over-year basis, Depreciation & Amortization (CF) has declined in each of the last seven quarters, with an average decline of 12.3% over the last seven quarters.
- The strongest year-over-year quarter for Depreciation & Amortization (CF) in the past five years was Q4 2021, with growth of 3.0%; the weakest was Q4 2024, with a decline of 25.3%.
- According to Business Quant data, Depreciation & Amortization (CF) for the three prior quarters was $5.98 million (Q1 2026), $6.21 million (Q4 2025) and $6.6 million (Q3 2025).
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 | Noodles | 79.06 Mn | 70.36 Mn | 90.30 Mn | 5.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.90 Mn |
| Mar 31, 2026 | 5.98 Mn |
| Dec 30, 2025 | 6.21 Mn |
| Sep 30, 2025 | 6.60 Mn |
| Jul 1, 2025 | 7.14 Mn |
| Apr 1, 2025 | 7.09 Mn |
| Dec 31, 2024 | 7.08 Mn |
| Oct 1, 2024 | 7.25 Mn |
| Jul 2, 2024 | 7.37 Mn |
| Apr 2, 2024 | 7.37 Mn |
| Jan 2, 2024 | 9.48 Mn |
| Oct 3, 2023 | 6.63 Mn |
| Jul 4, 2023 | 6.44 Mn |
| Apr 4, 2023 | 6.25 Mn |
| Sep 27, 2022 | 5.83 Mn |
| Jun 28, 2022 | 5.76 Mn |
| Mar 29, 2022 | 5.72 Mn |
| Dec 28, 2021 | 5.60 Mn |
| Sep 28, 2021 | 5.57 Mn |
| Jun 29, 2021 | 5.58 Mn |
Noodles 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=NDLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "NDLS", "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=NDLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();