People (PPLI) Price to Book (2019 - 2026)
People's (PPLI) quarterly Price to Book came in at 0.62 in Q2 2026, up 10.5% on a YoY basis from 0.56 in Q2 2025, and up 3.09% quarter-over-quarter from 0.6 in Q1 2026.
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Analysis
People (PPLI) Price to Book (2019 - 2026) Analysis & Trends
People (PPLI) has reported Price to Book for 8 consecutive years, with 0.62 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Book rose 10.5% year-over-year to 0.62; the trailing twelve-month figure through Jun 2026 stood at 0.62 (up 10.5% YoY), and the FY2025 full-year result was 0.59, up 29.47% from the prior year.
- Price to Book rose to 0.62 in Q2 2026 per PPLI's latest filing, from 0.6 in the prior quarter.
- Across five years, Price to Book topped out at 0.92 in Q1 2022 and bottomed at 0.45 in Q4 2024.
- Historically, Price to Book has averaged 0.57 across 5 years, with a median of 0.56 in 2025.
- The sharpest annual moves came in 2022 and 2025: Price to Book tumbled 60.36% in 2022, then rose 29.47% in 2025.
- Over 5 years, Price to Book stood at 0.46 in 2022, then gained by 10.7% to 0.51 in 2023, then fell by 10.99% to 0.45 in 2024, then climbed by 29.47% to 0.59 in 2025, then advanced by 5.45% to 0.62 in 2026.
- According to Business Quant data, Price to Book over the past three periods registered 0.62, 0.6, and 0.59 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 | 0.62 |
| Mar 31, 2026 | 0.60 |
| Dec 31, 2025 | 0.59 |
| Sep 30, 2025 | 0.51 |
| Jun 30, 2025 | 0.56 |
| Mar 31, 2025 | 0.59 |
| Dec 31, 2024 | 0.45 |
| Sep 30, 2024 | 0.55 |
| Jun 30, 2024 | 0.46 |
| Mar 31, 2024 | 0.52 |
| Dec 31, 2023 | 0.51 |
| Sep 30, 2023 | 0.52 |
| Jun 30, 2023 | 0.61 |
| Mar 31, 2023 | 0.50 |
| Dec 31, 2022 | 0.46 |
| Sep 30, 2022 | 0.58 |
| Jun 30, 2022 | 0.78 |
| Mar 31, 2022 | 0.92 |
| Dec 31, 2021 | 1.16 |
| Sep 30, 2021 | 1.19 |
API Access
People Price to Book 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-book&ticker=PPLI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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-book&ticker=PPLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();