Noodles (NDLS) EV to EBITDA (2013 - 2026)
Noodles' (NDLS) EV to EBITDA was 7.37 for Q2 2026.
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Analysis
Noodles (NDLS) EV to EBITDA (2013 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Noodles' EV to EBITDA came in at 6.75; for FY2024, it was 19.70, up 213.2% from FY2023.
- By year, EV to EBITDA came in at 6.29 in FY2023, 14.90 in FY2021 (-92.6%) and 202.72 in FY2020.
- The Q2 2026 figure ranks as the highest quarterly EV to EBITDA since Q4 2024.
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 | 7.37 |
| Dec 31, 2024 | 19.70 |
| Oct 1, 2024 | 5.77 |
| Jul 2, 2024 | 4.75 |
| Apr 2, 2024 | 3.18 |
| Jan 2, 2024 | 5.27 |
| Oct 3, 2023 | 3.81 |
| Jul 4, 2023 | 6.15 |
| Apr 4, 2023 | 12.21 |
| Sep 27, 2022 | 13.46 |
| Jun 28, 2022 | 11.31 |
| Mar 29, 2022 | 11.46 |
| Dec 28, 2021 | 14.90 |
| Sep 28, 2021 | 19.21 |
| Jun 29, 2021 | 22.59 |
| Mar 30, 2021 | 85.39 |
| Dec 29, 2020 | 202.72 |
| Sep 29, 2020 | 56.73 |
| Jun 30, 2020 | 21.57 |
| Mar 31, 2020 | 6.68 |
API Access
Noodles EV to EBITDA 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-ebitda&ticker=NDLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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-ebitda&ticker=NDLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();