Noodles (NDLS) Price to FCF (2013 - 2026)
Noodles' (NDLS) Price to FCF came in at 23.72 for Q2 2026.
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Analysis
Noodles (NDLS) Price to FCF (2013 - 2026) Analysis & Trends
For FY2021, Noodles' Price to FCF stood at 24.26.
- In prior years, Noodles' Price to FCF was 19.32 in FY2019.
- The Q2 2026 figure stands as the highest quarterly Price to FCF since Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - |
| 3 | Chipotle Mexican Grill | 45.50 Bn | 42.00 Bn | - |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn |
| 8 | Yum China Holdings | 16.86 Bn | 11.73 Bn | 652.00 Mn |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn |
| 10 | Noodles | 82.94 Mn | 74.23 Mn | 90.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.94 |
| Mar 31, 2026 | 2.37 |
| Dec 30, 2025 | 1.76 |
| Sep 30, 2025 | 3.73 |
| Jul 1, 2025 | 1.40 |
| Apr 1, 2025 | 1.23 |
| Dec 31, 2024 | 0.70 |
| Oct 1, 2024 | 1.28 |
| Jul 2, 2024 | 1.52 |
| Apr 2, 2024 | 1.66 |
| Jan 2, 2024 | 2.94 |
| Oct 3, 2023 | 1.25 |
| Jul 4, 2023 | 2.14 |
| Apr 4, 2023 | 6.48 |
| Sep 27, 2022 | 5.51 |
| Jun 28, 2022 | 6.43 |
| Mar 29, 2022 | 8.35 |
| Dec 28, 2021 | 8.78 |
| Sep 28, 2021 | 12.03 |
| Jun 29, 2021 | 14.77 |
API Access
Noodles Price to FCF 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=price-to-fcf&ticker=NDLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-fcf", "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=price-to-fcf&ticker=NDLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();