Arcos Dorados Holdings (ARCO) Shares Outstanding (Diluted) (2009 - 2026)
Arcos Dorados Holdings (ARCO) posted Shares Outstanding (Diluted) of 210.66 million for Q2 2026, unchanged from 210.66 million a year earlier and unchanged from the prior quarter.
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Analysis
Arcos Dorados Holdings (ARCO) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
Since Q4 2009, Arcos Dorados Holdings has reported Shares Outstanding (Diluted) for 67 quarters.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- In prior years, Arcos Dorados Holdings' Shares Outstanding (Diluted) was 210.66 million in FY2024 (unchanged), 210.63 million in FY2023 (unchanged), 210.63 million in FY2022 (unchanged) and 210.54 million in FY2021 (+0.9%).
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q3 2022, with growth of 0.9%; the weakest was Q3 2021, with a decline of 0.8%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 210.66 million (Q1 2026), 210.66 million (Q4 2025) and 210.66 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 711.10 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 | 277.00 Mn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 460.00 Mn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 116.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 336.00 Mn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 349.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 65.92 Mn |
| 10 | Arcos Dorados Holdings | 1.51 Bn | 294.67 Mn | - | 210.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 210.66 Mn |
| Mar 31, 2026 | 210.66 Mn |
| Dec 31, 2025 | 210.66 Mn |
| Sep 30, 2025 | 210.66 Mn |
| Jun 30, 2025 | 210.66 Mn |
| Mar 31, 2025 | 210.66 Mn |
| Dec 31, 2024 | 210.66 Mn |
| Sep 30, 2024 | 210.63 Mn |
| Jun 30, 2024 | 210.63 Mn |
| Mar 31, 2024 | 210.63 Mn |
| Dec 31, 2023 | 210.63 Mn |
| Sep 30, 2023 | 210.63 Mn |
| Jun 30, 2023 | 210.63 Mn |
| Mar 31, 2023 | 210.63 Mn |
| Dec 31, 2022 | 210.63 Mn |
| Sep 30, 2022 | 210.54 Mn |
| Jun 30, 2022 | 210.54 Mn |
| Mar 31, 2022 | 210.54 Mn |
| Dec 31, 2021 | 210.54 Mn |
| Sep 30, 2021 | 208.65 Mn |
API Access
Arcos Dorados Holdings 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=ARCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "ARCO", "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=ARCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();