Noodles (NDLS) EV to CFO (2013 - 2026)
Noodles' EV to CFO came in at 6.55 for Q2 2026, up 24.0% from the prior quarter.
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Analysis
Noodles (NDLS) EV to CFO (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Noodles reported EV to CFO of 6.00; for FY2025, it was 4.26, up 27.0% from FY2024.
- Going back by year, EV to CFO was 3.36 in FY2024 (-32.6%), 4.98 in FY2023 and 11.60 in FY2021 (-68.9%).
- The Q2 2026 figure represents the highest quarterly EV to CFO since Q1 2025.
- Year-over-year, EV to CFO increased in two of the last four quarters, with growth averaging 87.0%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - |
| 10 | Noodles | 82.34 Mn | 73.64 Mn | 90.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.55 |
| Mar 31, 2026 | 5.28 |
| Dec 30, 2025 | 4.26 |
| Apr 1, 2025 | 10.61 |
| Dec 31, 2024 | 3.36 |
| Oct 1, 2024 | 1.35 |
| Jul 2, 2024 | 1.83 |
| Apr 2, 2024 | 2.25 |
| Jan 2, 2024 | 3.36 |
| Apr 4, 2023 | 15.15 |
| Sep 27, 2022 | 15.19 |
| Jun 28, 2022 | 11.59 |
| Mar 29, 2022 | 10.26 |
| Dec 28, 2021 | 11.60 |
| Sep 28, 2021 | 18.12 |
| Jun 29, 2021 | 21.42 |
| Mar 30, 2021 | 34.14 |
| Dec 29, 2020 | 37.33 |
| Sep 29, 2020 | 13.66 |
| Jun 30, 2020 | 7.43 |
API Access
Noodles EV to CFO 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=ev-to-cfo&ticker=NDLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=NDLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();