People (PPLI) Total Non-Current Liabilities (2019 - 2026)
People (PPLI) reported Total Non-Current Liabilities of $2.2 billion for Q2 2026, up 3.0% from $2.13 billion a year earlier and up 8.7% from the prior quarter.
People (PPLI) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
Dating back to Q4 2019, People's Total Non-Current Liabilities record includes 27 quarters.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $3.04 billion in FY2024 (-91.3%), $34.87 billion in FY2023 (+988.7%), $3.2 billion in FY2022 (-16.4%) and $3.83 billion in FY2021 (+115.7%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $1.45 billion in Q3 2021 and a high of $34.87 billion in Q4 2023.
- Year over year, Total Non-Current Liabilities gained in 1 of the last eight quarters, with an average decline of 26.9%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q4 2023 (growth of 988.7%); the low point was Q4 2024 (a decline of 91.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.02 billion (Q1 2026), $2.2 billion (Q4 2025) and $2.13 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 261.69 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 166.27 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 25.59 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | 122.05 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 326.00 Mn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 37.14 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 39.77 Bn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | 428.00 Mn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 6.10 Bn |
| 10 | People | 2.88 Bn | -1.30 Bn | 280.20 Mn | 2.20 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.20 Bn |
| Mar 31, 2026 | 2.02 Bn |
| Dec 31, 2025 | 2.20 Bn |
| Sep 30, 2025 | 2.13 Bn |
| Jun 30, 2025 | 2.13 Bn |
| Mar 31, 2025 | 2.15 Bn |
| Dec 31, 2024 | 3.04 Bn |
| Sep 30, 2024 | 2.95 Bn |
| Jun 30, 2024 | 3.06 Bn |
| Mar 31, 2024 | 3.08 Bn |
| Dec 31, 2023 | 3.14 Bn |
| Sep 30, 2023 | 3.12 Bn |
| Jun 30, 2023 | 3.25 Bn |
| Mar 31, 2023 | 3.24 Bn |
| Dec 31, 2022 | 3.20 Bn |
| Sep 30, 2022 | 3.25 Bn |
| Jun 30, 2022 | 3.46 Bn |
| Mar 31, 2022 | 3.71 Bn |
| Dec 31, 2021 | 3.83 Bn |
| Sep 30, 2021 | 1.45 Bn |
People Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=PPLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=PPLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();