People (PPLI) Change in Taxes (2019 - 2026)
People's (PPLI) quarterly Change in Taxes came in at -$786000.0 in Q2 2026, up 79.11% on a YoY basis from -$438844.2 in Q2 2025, and down 23.78% quarter-over-quarter from -$635000.0 in Q1 2026.
People (PPLI) Change in Taxes (2019 - 2026) Analysis & Trends
People (PPLI) has reported Change in Taxes for 8 consecutive years, with -$786000.0 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Change in Taxes rose 79.11% year-over-year to -$786000.0; the trailing twelve-month figure through Jun 2026 stood at -$1.5 million (up 60.09% YoY), and the FY2025 full-year result was -$2.3 million, down 182.51% from the prior year.
- Change in Taxes slipped to -$786000.0 in Q2 2026 per PPLI's latest filing, from -$635000.0 in the prior quarter.
- Across five years, Change in Taxes topped out at $8.6 million in Q1 2023 and bottomed at -$6.2 million in Q2 2023.
- Historically, Change in Taxes has averaged -$575444.4 across 5 years, with a median of -$840000.0 in 2024.
- The widest YoY moves for Change in Taxes: up 824.16% in 2022, down 245.8% in 2022.
- Over 5 years, Change in Taxes stood at -$3.0 million in 2022, then surged by 34.6% to -$2.0 million in 2023, then soared by 56.33% to -$869000.0 in 2024, then surged by 73.42% to -$231000.0 in 2025, then sank by 240.26% to -$786000.0 in 2026.
- According to Business Quant data, Change in Taxes over the past three periods registered -$786000.0, -$635000.0, and -$231000.0 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Alibaba Group Holding | 270.04 Bn | 234.78 Bn | 15.11 Bn | - |
| 2 | Booking Holdings | 123.39 Bn | 106.18 Bn | 4.98 Bn | - |
| 3 | PDD Holdings | 114.37 Bn | 84.09 Bn | 9.45 Bn | - |
| 4 | Airbnb | 95.47 Bn | 83.40 Bn | 2.98 Bn | - |
| 5 | Mercadolibre | 92.60 Bn | 77.41 Bn | 4.16 Bn | - |
| 6 | Ebay | 48.63 Bn | 45.32 Bn | 2.30 Bn | - |
| 7 | Expedia | 32.13 Bn | 25.01 Bn | 3.91 Bn | 15.00 Mn |
| 8 | Maplebear | 10.35 Bn | 9.50 Bn | 751.00 Mn | - |
| 9 | Full Truck Alliance | 7.90 Bn | 6.94 Bn | - | - |
| 10 | People | 2.54 Bn | 1.46 Bn | 280.20 Mn | -786,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -786,000.00 |
| Mar 31, 2026 | -635,000.00 |
| Dec 31, 2025 | -231,000.00 |
| Sep 30, 2025 | 123,000.00 |
| Jun 30, 2025 | -3.76 Mn |
| Mar 31, 2025 | 1.61 Mn |
| Dec 31, 2024 | -869,000.00 |
| Sep 30, 2024 | -811,000.00 |
| Jun 30, 2024 | -1.43 Mn |
| Mar 31, 2024 | 5.85 Mn |
| Dec 31, 2023 | -1.99 Mn |
| Sep 30, 2023 | -3.14 Mn |
| Jun 30, 2023 | -6.16 Mn |
| Mar 31, 2023 | 8.61 Mn |
| Dec 31, 2022 | -3.04 Mn |
| Sep 30, 2022 | -3.66 Mn |
| Jun 30, 2022 | -5.82 Mn |
| Mar 31, 2022 | 5.79 Mn |
| Dec 31, 2021 | 3.53 Mn |
| Sep 30, 2021 | 2.51 Mn |
People Change in Taxes 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=change-in-taxes&ticker=PPLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=PPLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();