Portillo's (PTLO) Shares Outstanding (Diluted) (2020 - 2026)
Portillo's' Shares Outstanding (Diluted) came in at 73.17 million for Q2 2026, up 4.7% from 69.87 million a year earlier and up 1.5% from the prior quarter.
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Analysis
Portillo's (PTLO) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Portillo's' Shares Outstanding (Diluted) was 71.09 million, up 11.1% from FY2024.
- Shares Outstanding (Diluted) has increased in each of the last four years, with a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 63.98 million in FY2024 (+11.6%), 57.31 million in FY2023 (+34.2%), 42.72 million in FY2022 (+19.3%) and 35.81 million in FY2021 (-30.0%).
- The five-year range for quarterly Shares Outstanding (Diluted) is 35.81 million (Q4 2021) to 73.97 million (Q3 2025).
- Year-over-year, Shares Outstanding (Diluted) has increased for 15 consecutive quarters, with growth averaging 9.8% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q2 2023 (growth of 47.5%), and the weakest in Q4 2021 (a decline of 30.0%).
- Business Quant data shows PTLO's Shares Outstanding (Diluted) at 72.08 million (Q1 2026), 71.09 million (Q4 2025) and 73.97 million (Q3 2025) in the three quarters before Q2 2026.
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 | Portillo's | 268.03 Mn | 215.40 Mn | - | 73.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 73.17 Mn |
| Mar 29, 2026 | 72.08 Mn |
| Dec 28, 2025 | 71.09 Mn |
| Sep 28, 2025 | 73.97 Mn |
| Jun 29, 2025 | 69.87 Mn |
| Mar 30, 2025 | 66.47 Mn |
| Dec 29, 2024 | 63.98 Mn |
| Sep 29, 2024 | 64.90 Mn |
| Jun 30, 2024 | 64.61 Mn |
| Mar 31, 2024 | 60.49 Mn |
| Dec 31, 2023 | 57.31 Mn |
| Sep 24, 2023 | 58.77 Mn |
| Jun 25, 2023 | 58.55 Mn |
| Mar 26, 2023 | 49.60 Mn |
| Dec 25, 2022 | 42.72 Mn |
| Sep 25, 2022 | 42.63 Mn |
| Jun 26, 2022 | 39.69 Mn |
| Mar 27, 2022 | 39.94 Mn |
| Dec 26, 2021 | 35.81 Mn |
| Sep 26, 2021 | 51.58 Mn |
API Access
Portillo's 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=PTLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "PTLO", "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=PTLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();