Noodles (NDLS) Shares Outstanding (Entity) (2012 - 2026)
Noodles' Shares Outstanding (Entity) was 5.97 million in Q2 2026, up 2.8% from 5.8 million a year earlier and up 1.3% from the prior quarter.
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Analysis
Noodles (NDLS) Shares Outstanding (Entity) (2012 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Entity) at Noodles came in at 5.85 million, up 2.4% from FY2024.
- Shares Outstanding (Entity) shows a five-year compound annual growth rate of 1.1% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Entity) was 5.72 million in FY2024 (+1.7%), 5.62 million in FY2023 and 5.71 million in FY2021 (+3.0%).
- The Q2 2026 figure marks the highest quarterly Shares Outstanding (Entity) in data going back to Q4 2012.
- Compared with a year earlier, Shares Outstanding (Entity) has increased for seven straight quarters, with growth averaging 2.1% over the last seven quarters.
- The year-over-year growth in Shares Outstanding (Entity) has ranged between 1.3% (Q1 2025) and 3.0% (Q4 2021) over the last five years.
- Per Business Quant data, NDLS's Shares Outstanding (Entity) in the three quarters before Q2 2026 was 5.89 million (Q1 2026), 5.85 million (Q4 2025) and 5.85 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 707.64 Mn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 1.14 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 1.27 Bn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 272.90 Mn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 349.21 Mn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 114.10 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 229.85 Mn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 345.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 65.59 Mn |
| 10 | Noodles | 79.06 Mn | 70.36 Mn | 90.30 Mn | 5.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.97 Mn |
| Mar 31, 2026 | 5.89 Mn |
| Dec 30, 2025 | 5.85 Mn |
| Sep 30, 2025 | 5.85 Mn |
| Jul 1, 2025 | 5.80 Mn |
| Apr 1, 2025 | 5.74 Mn |
| Dec 31, 2024 | 5.72 Mn |
| Oct 1, 2024 | 5.71 Mn |
| Jul 2, 2024 | 5.70 Mn |
| Apr 2, 2024 | 5.67 Mn |
| Jan 2, 2024 | 5.62 Mn |
| Oct 3, 2023 | 5.62 Mn |
| Jul 4, 2023 | 5.80 Mn |
| Apr 4, 2023 | 5.79 Mn |
| Jan 3, 2023 | 5.76 Mn |
| Sep 27, 2022 | 5.75 Mn |
| Jun 28, 2022 | 5.75 Mn |
| Mar 29, 2022 | 5.73 Mn |
| Dec 28, 2021 | 5.71 Mn |
| Sep 28, 2021 | 5.71 Mn |
API Access
Noodles Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=NDLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=NDLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();