Shake Shack (SHAK) Shares Outstanding (Diluted) (2014 - 2026)
Shake Shack (SHAK) recorded Shares Outstanding (Diluted) of 41.87 million in Q2 2026, up 0.1% from 41.82 million a year earlier and up 3.9% from the prior quarter.
Shake Shack (SHAK) Shares Outstanding (Diluted) (2014 - 2026) Analysis & Trends
For FY2025, Shake Shack reported Shares Outstanding (Diluted) of 41.85 million, down 5.3% from FY2024.
- Annual Shares Outstanding (Diluted) has a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 44.2 million in FY2024 (+0.7%), 43.9 million in FY2023 (+11.9%), 39.24 million in FY2022 (+0.4%) and 39.09 million in FY2021 (+5.3%).
- Quarterly Shares Outstanding (Diluted) has ranged from 39.09 million in Q4 2021 to 44.2 million in Q4 2024 over the past five years.
- On a year-over-year basis, Shares Outstanding (Diluted) rose in five of the last eight quarters, with an average decline of 1.3%.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 12.0% in Q3 2023, against a decline of 10.4% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 40.29 million (Q1 2026), 41.85 million (Q4 2025) and 41.87 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 711.10 Mn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 1.14 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 277.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 1.28 Bn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 460.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 114.40 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 336.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 349.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 65.92 Mn |
| 10 | Shake Shack | 2.84 Bn | 1.50 Bn | - | 41.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 1, 2026 | 41.87 Mn |
| Apr 1, 2026 | 40.29 Mn |
| Dec 31, 2025 | 41.85 Mn |
| Sep 24, 2025 | 41.87 Mn |
| Jun 25, 2025 | 41.82 Mn |
| Mar 26, 2025 | 41.86 Mn |
| Dec 25, 2024 | 44.20 Mn |
| Sep 25, 2024 | 40.01 Mn |
| Jun 26, 2024 | 41.48 Mn |
| Mar 27, 2024 | 41.26 Mn |
| Dec 27, 2023 | 43.90 Mn |
| Sep 27, 2023 | 43.98 Mn |
| Jun 28, 2023 | 43.89 Mn |
| Mar 29, 2023 | 39.33 Mn |
| Dec 28, 2022 | 39.24 Mn |
| Sep 28, 2022 | 39.27 Mn |
| Jun 29, 2022 | 39.23 Mn |
| Mar 30, 2022 | 39.16 Mn |
| Dec 29, 2021 | 39.09 Mn |
| Sep 29, 2021 | 39.14 Mn |
Shake Shack Shares Outstanding (Diluted) 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-diluted&ticker=SHAK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "SHAK", "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-diluted&ticker=SHAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();