People (PPLI) Price to Earnings (2019 - 2026)
People's (PPLI) quarterly Price to Earnings came in at 6.21 in Q2 2026, down 52.75% on a YoY basis from 13.14 in Q2 2025, and up 117.56% quarter-over-quarter from 35.35 in Q1 2026.
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People (PPLI) Price to Earnings (2019 - 2026) Analysis & Trends
People (PPLI) has reported Price to Earnings for 8 consecutive years, with 6.21 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Earnings fell 52.75% year-over-year to 6.21; the trailing twelve-month figure through Jun 2026 stood at 9.46 (up 250.67% YoY), and the FY2025 full-year result was 27.57, down 416.3% from the prior year.
- Price to Earnings climbed to 6.21 in Q2 2026 per PPLI's latest filing, from 35.35 in the prior quarter.
- Across five years, Price to Earnings topped out at 78.12 in Q1 2024 and bottomed at 192.61 in Q4 2022.
- Historically, Price to Earnings has averaged 26.2 across 5 years, with a median of 14.62 in 2024.
- The sharpest annual moves came in 2023 and 2024: Price to Earnings sank 657.74% in 2023, then jumped 841.89% in 2024.
- Over 5 years, Price to Earnings stood at 192.61 in 2022, then jumped by 104.92% to 9.48 in 2023, then plunged by 250.69% to 14.28 in 2024, then tumbled by 158.27% to 36.89 in 2025, then soared by 116.83% to 6.21 in 2026.
- According to Business Quant data, Price to Earnings over the past three periods registered 6.21, 35.35, and 36.89 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alibaba Group Holding | 263.05 Bn | 227.79 Bn | 15.11 Bn |
| 2 | Booking Holdings | 126.16 Bn | 108.94 Bn | 4.98 Bn |
| 3 | PDD Holdings | 112.31 Bn | 82.02 Bn | 9.45 Bn |
| 4 | Airbnb | 98.07 Bn | 86.00 Bn | 2.98 Bn |
| 5 | Mercadolibre | 90.61 Bn | 75.42 Bn | 4.16 Bn |
| 6 | Ebay | 49.77 Bn | 46.46 Bn | 2.30 Bn |
| 7 | Expedia | 31.98 Bn | 24.85 Bn | 3.91 Bn |
| 8 | Maplebear | 10.57 Bn | 9.72 Bn | 751.00 Mn |
| 9 | Full Truck Alliance | 7.59 Bn | 6.63 Bn | - |
| 10 | People | 2.48 Bn | 1.41 Bn | 280.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.21 |
| Mar 31, 2026 | -35.35 |
| Dec 31, 2025 | -36.89 |
| Sep 30, 2025 | -112.49 |
| Jun 30, 2025 | 13.14 |
| Mar 31, 2025 | -13.06 |
| Dec 31, 2024 | -14.28 |
| Sep 30, 2024 | -14.96 |
| Jun 30, 2024 | -21.82 |
| Mar 31, 2024 | 78.12 |
| Dec 31, 2023 | 9.48 |
| Sep 30, 2023 | -8.44 |
| Jun 30, 2023 | -44.99 |
| Mar 31, 2023 | 8.29 |
| Dec 31, 2022 | -192.61 |
| Sep 30, 2022 | -57.33 |
| Jun 30, 2022 | -5.94 |
| Mar 31, 2022 | -28.71 |
| Dec 31, 2021 | 1,200.02 |
| Sep 30, 2021 | 151.02 |
API Access
People Price to Earnings 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=price-to-earnings&ticker=PPLI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=PPLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();