Noodles (NDLS) Enterprise Value (2013 - 2026)
Noodles' Enterprise Value came in at $87.9 million for Q2 2026, up 186.3% from $30.7 million a year earlier and up 79.6% from the prior quarter.
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Analysis
Noodles (NDLS) Enterprise Value (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Noodles reported Enterprise Value of $80.5 million, up 224.0% year-over-year; for FY2025, it came in at $31.04 million, up 22.3% from FY2024.
- Enterprise Value carries a five-year compound annual growth rate of -38.1% (FY2020 to FY2025).
- Going back by year, Enterprise Value was $25.38 million in FY2024 (-81.5%), $136.9 million in FY2023 and $419.57 million in FY2021 (+23.2%).
- The Q2 2026 figure represents the highest quarterly Enterprise Value since Q4 2023.
- Year-over-year, Enterprise Value has increased for three consecutive quarters, with an average decline of 2.6% over the last seven quarters.
- The fastest year-over-year change in Enterprise Value over five years came in Q2 2026 (growth of 186.3%), and the weakest in Q4 2024 (a decline of 81.5%).
- Business Quant data shows NDLS's Enterprise Value at $48.93 million (Q1 2026), $31.04 million (Q4 2025) and $25.24 million (Q3 2025) in the three quarters before Q2 2026.
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 | 87.90 Mn |
| Mar 31, 2026 | 48.93 Mn |
| Dec 30, 2025 | 31.04 Mn |
| Sep 30, 2025 | 25.24 Mn |
| Jul 1, 2025 | 30.70 Mn |
| Apr 1, 2025 | 48.68 Mn |
| Dec 31, 2024 | 25.38 Mn |
| Oct 1, 2024 | 50.14 Mn |
| Jul 2, 2024 | 70.73 Mn |
| Apr 2, 2024 | 80.29 Mn |
| Jan 2, 2024 | 136.90 Mn |
| Oct 3, 2023 | 99.91 Mn |
| Jul 4, 2023 | 154.72 Mn |
| Apr 4, 2023 | 227.87 Mn |
| Jan 3, 2023 | 253.08 Mn |
| Sep 27, 2022 | 213.99 Mn |
| Jun 28, 2022 | 219.73 Mn |
| Mar 29, 2022 | 270.20 Mn |
| Dec 28, 2021 | 419.57 Mn |
| Sep 28, 2021 | 556.42 Mn |
API Access
Noodles Enterprise Value 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=enterprise-value&ticker=NDLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=NDLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();