People (PPLI) EV to EBITDA (2019 - 2026)
People's (PPLI) quarterly EV to EBITDA came in at 308.43 in Q2 2026, up 95.97% on a YoY basis from 157.38 in Q2 2025, and down 511.2% quarter-over-quarter from 50.46 in Q1 2026.
People (PPLI) EV to EBITDA (2019 - 2026) Analysis & Trends
People (PPLI) has reported EV to EBITDA for 8 consecutive years, with 308.43 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, EV to EBITDA rose 95.97% year-over-year to 308.43; the trailing twelve-month figure through Jun 2026 stood at 13.56 (down 201.11% YoY), and the FY2025 full-year result was 31.49, down 125.36% from the prior year.
- EV to EBITDA eased to 308.43 in Q2 2026 per PPLI's latest filing, from 50.46 in the prior quarter.
- Across five years, EV to EBITDA topped out at 2459.45 in Q3 2023 and bottomed at 7658.61 in Q2 2025.
- Historically, EV to EBITDA has averaged 301.18 across 5 years, with a median of 29.67 in 2022.
- The sharpest annual moves came in 2023 and 2025: EV to EBITDA jumped 9971.73% in 2023, then slumped 3806.84% in 2025.
- Over 5 years, EV to EBITDA stood at 75.19 in 2022, then soared by 712.92% to 460.82 in 2023, then tumbled by 94.37% to 25.95 in 2024, then slumped by 169.39% to 18.0 in 2025, then tumbled by 1613.17% to 308.43 in 2026.
- According to Business Quant data, EV to EBITDA over the past three periods registered 308.43, 50.46, and 18.0 for Q2 2026, Q1 2026, and Q4 2025 respectively.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | -308.43 |
| Mar 31, 2026 | -50.46 |
| Dec 31, 2025 | -18.00 |
| Sep 30, 2025 | -146.52 |
| Jun 30, 2025 | -7,658.61 |
| Mar 31, 2025 | 47.63 |
| Dec 31, 2024 | 25.95 |
| Sep 30, 2024 | 83.78 |
| Jun 30, 2024 | 206.61 |
| Mar 31, 2024 | -57.55 |
| Dec 31, 2023 | 460.82 |
| Sep 30, 2023 | 2,459.45 |
| Jun 30, 2023 | -235.40 |
| Mar 31, 2023 | -33.55 |
| Dec 31, 2022 | -75.19 |
| Sep 30, 2022 | -24.91 |
| Jun 30, 2022 | -25.79 |
| Mar 31, 2022 | -71.09 |
| Dec 31, 2021 | -153.51 |
| Sep 30, 2021 | -365.92 |
People EV to EBITDA 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=ev-to-ebitda&ticker=PPLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=PPLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();