People (PPLI) Revenue (2019 - 2026)
People (PPLI) reported Revenue of $436.74 million for Q2 2026, down 1.5% from $443.25 million a year earlier but up 3.3% from the prior quarter.
People (PPLI) Revenue (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, People's Revenue came in at $2.1 billion, down 8.4% year-over-year; for FY2025, it came in at $2.39 billion, down 8.7% from FY2024.
- Revenue has declined for three consecutive years, with a five-year compound annual growth rate of -2.8% (FY2020 to FY2025).
- By year, Revenue came in at $2.62 billion in FY2024 (-10.2%), $2.92 billion in FY2023 (-44.2%), $5.24 billion in FY2022 (+41.5%) and $3.7 billion in FY2021 (+33.8%).
- Five-year quarterly Revenue spans a low of -$387.8 million in Q4 2023 and a high of $1.36 billion in Q2 2022.
- Year over year, Revenue has now declined in each of the last six quarters, with an average decline of 18.2% over the last seven quarters.
- The high point for year-over-year Revenue in five years was Q1 2022 (growth of 68.5%); the low point was Q2 2024 (a decline of 42.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $422.89 million (Q1 2026), $645.98 million (Q4 2025) and $589.79 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 119.80 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 60.80 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 12.56 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | 39.64 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 3.58 Bn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 14.19 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 7.35 Bn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | 16.56 Bn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 5.55 Bn |
| 10 | People | 2.88 Bn | -1.30 Bn | 280.20 Mn | 436.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 436.74 Mn |
| Mar 31, 2026 | 422.89 Mn |
| Dec 31, 2025 | 645.98 Mn |
| Sep 30, 2025 | 589.79 Mn |
| Jun 30, 2025 | 443.25 Mn |
| Mar 31, 2025 | 481.69 Mn |
| Dec 31, 2024 | 721.44 Mn |
| Sep 30, 2024 | 642.00 Mn |
| Jun 30, 2024 | 634.39 Mn |
| Mar 31, 2024 | 624.29 Mn |
| Dec 31, 2023 | -387.80 Mn |
| Sep 30, 2023 | 1.11 Bn |
| Jun 30, 2023 | 1.11 Bn |
| Mar 31, 2023 | 1.08 Bn |
| Dec 31, 2022 | 1.25 Bn |
| Sep 30, 2022 | 1.30 Bn |
| Jun 30, 2022 | 1.36 Bn |
| Mar 31, 2022 | 1.33 Bn |
| Dec 31, 2021 | 1.16 Bn |
| Sep 30, 2021 | 924.07 Mn |
People Revenue 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=revenue&ticker=PPLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=PPLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();