Rave Restaurant (RAVE) Shares Outstanding (2010 - 2026)
Rave Restaurant (RAVE) posted Shares Outstanding of 14.21 million for fiscal Q4 2026 (quarter ended Jun 28, 2026), down 2.0% from 14.5 million a year earlier and unchanged from the prior quarter.
Rave Restaurant (RAVE) Shares Outstanding (2010 - 2026) Analysis & Trends
Since fiscal Q1 2011, Rave Restaurant has reported Shares Outstanding for 64 quarters.
- Annual Shares Outstanding shows a five-year compound annual growth rate of -3.9% (FY2021 to FY2026).
- In prior fiscal years, Rave Restaurant's Shares Outstanding was 14.5 million in FY2025 (+0.4%), 14.45 million in FY2024 (-5.7%), 15.32 million in FY2023 (-14.8%) and 17.99 million in FY2022 (+4.0%).
- Quarterly Shares Outstanding has run from a low of 14.15 million in fiscal Q3 2023 to a high of 18.01 million in fiscal Q3 2022 over five years.
- On a year-over-year basis, Shares Outstanding has declined in each of the last four quarters, with an average decline of 0.7% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding in the past five years was fiscal Q1 2022, with growth of 16.5%; the weakest was fiscal Q3 2023, with a decline of 21.4%.
- According to Business Quant data, Shares Outstanding for the three prior fiscal quarters was 14.21 million (Q3 2026), 14.21 million (Q2 2026) and 14.21 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 709.10 Mn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 1.14 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 1.28 Bn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 275.00 Mn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 348.00 Mn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 115.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 228.00 Mn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 348.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 65.70 Mn |
| 10 | Rave Restaurant | 32.69 Mn | -14.38 Mn | - | 14.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 14.21 Mn |
| Mar 29, 2026 | 14.21 Mn |
| Dec 28, 2025 | 14.21 Mn |
| Sep 28, 2025 | 14.21 Mn |
| Jun 29, 2025 | 14.50 Mn |
| Mar 30, 2025 | 14.51 Mn |
| Dec 29, 2024 | 14.69 Mn |
| Sep 29, 2024 | 14.59 Mn |
| Jun 30, 2024 | 14.45 Mn |
| Mar 24, 2024 | 14.59 Mn |
| Dec 24, 2023 | 14.44 Mn |
| Sep 24, 2023 | 14.15 Mn |
| Jun 25, 2023 | 15.32 Mn |
| Mar 26, 2023 | 14.15 Mn |
| Dec 25, 2022 | 16.35 Mn |
| Sep 25, 2022 | 16.63 Mn |
| Jun 26, 2022 | 17.99 Mn |
| Mar 27, 2022 | 18.01 Mn |
| Dec 26, 2021 | 18.01 Mn |
| Sep 26, 2021 | 18.01 Mn |
Rave Restaurant Shares Outstanding 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&ticker=RAVE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "RAVE", "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&ticker=RAVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();