People (PPLI) Shares Outstanding (Diluted) (2019 - 2026)
People (PPLI) reported Shares Outstanding (Diluted) of 75.92 million for Q2 2026, down 7.6% from 82.21 million a year earlier and down 1.1% from the prior quarter.
People (PPLI) Shares Outstanding (Diluted) (2019 - 2026) Analysis & Trends
For FY2025, People posted Shares Outstanding (Diluted) of 80.08 million, down 3.7% from FY2024.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of -2.5% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 83.13 million in FY2024 (-3.9%), 86.46 million in FY2023 (+0.1%), 86.35 million in FY2022 (-6.0%) and 91.83 million in FY2021 (+1.0%).
- The Q2 2026 figure ranks as the lowest quarterly Shares Outstanding (Diluted) in data going back to Q1 2019.
- Year over year, Shares Outstanding (Diluted) has now declined in each of the last seven quarters, with an average decline of 3.9% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q1 2023 (growth of 1.8%); the low point was Q2 2026 (a decline of 7.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 76.74 million (Q1 2026), 80.08 million (Q4 2025) and 79.63 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 12.31 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 2.57 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 4.26 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | 2.40 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 1.30 Bn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 2.05 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 770.00 Mn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | 1.48 Bn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 210.51 Mn |
| 10 | People | 2.88 Bn | -1.30 Bn | 280.20 Mn | 75.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 75.92 Mn |
| Mar 31, 2026 | 76.74 Mn |
| Dec 31, 2025 | 80.08 Mn |
| Sep 30, 2025 | 79.63 Mn |
| Jun 30, 2025 | 82.21 Mn |
| Mar 31, 2025 | 82.21 Mn |
| Dec 31, 2024 | 83.13 Mn |
| Sep 30, 2024 | 83.18 Mn |
| Jun 30, 2024 | 83.10 Mn |
| Mar 31, 2024 | 85.86 Mn |
| Dec 31, 2023 | 86.46 Mn |
| Sep 30, 2023 | 82.83 Mn |
| Jun 30, 2023 | 83.08 Mn |
| Mar 31, 2023 | 88.35 Mn |
| Dec 31, 2022 | 86.35 Mn |
| Sep 30, 2022 | 86.02 Mn |
| Jun 30, 2022 | 86.75 Mn |
| Mar 31, 2022 | 86.78 Mn |
| Dec 31, 2021 | 91.83 Mn |
| Sep 30, 2021 | 91.08 Mn |
People 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=PPLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "PPLI", "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=PPLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();