People (PPLI) Long-Term Debt Repayments (2019 - 2026)
People (PPLI) recorded Long-Term Debt Repayments of $6.13 million in Q2 2026, down 99.6% from $1.42 billion a year earlier and unchanged from the prior quarter.
People (PPLI) Long-Term Debt Repayments (2019 - 2026) Analysis & Trends
On a TTM basis, People's Long-Term Debt Repayments came in at $21 million as of Jun 30, 2026, down 98.6% year-over-year; for FY2025, it was $1.43 billion.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of 120.5% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $67.96 million in FY2024 (+126.5%), $30 million in FY2023 (unchanged), $30 million in FY2022 (-86.4%) and $220 million in FY2021 (+700.0%).
- Quarterly Long-Term Debt Repayments has ranged from $4.38 million in Q3 2025 to $1.42 billion in Q2 2025 over the past five years.
- On a year-over-year basis, Long-Term Debt Repayments has declined for four consecutive quarters, with growth averaging 37.3% over the last seven quarters.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 506.2% in Q4 2024, against a decline of 99.6% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.13 million (Q1 2026), $4.38 million (Q4 2025) and $4.38 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 3.78 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 962.00 Mn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | - |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | - |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 2.04 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 1.00 Bn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | - |
| 10 | People | 2.88 Bn | -1.30 Bn | 280.20 Mn | 6.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.13 Mn |
| Mar 31, 2026 | 6.13 Mn |
| Dec 31, 2025 | 4.38 Mn |
| Sep 30, 2025 | 4.38 Mn |
| Jun 30, 2025 | 1.42 Bn |
| Mar 31, 2025 | 8.75 Mn |
| Dec 31, 2024 | 45.46 Mn |
| Sep 30, 2024 | 7.50 Mn |
| Jun 30, 2024 | 7.50 Mn |
| Mar 31, 2024 | 7.50 Mn |
| Dec 31, 2023 | 7.50 Mn |
| Sep 30, 2023 | 7.50 Mn |
| Jun 30, 2023 | 7.50 Mn |
| Mar 31, 2023 | 7.50 Mn |
| Dec 31, 2022 | 7.50 Mn |
| Sep 30, 2022 | 7.50 Mn |
| Jun 30, 2022 | 7.50 Mn |
| Mar 31, 2022 | 7.50 Mn |
| Jun 30, 2021 | 213.13 Mn |
| Mar 31, 2021 | 6.88 Mn |
People Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=PPLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=PPLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();