People (PPLI) Long-Term Debt Repayments (2019 - 2026)
People (PPLI) recorded Long-Term Debt Repayments of $6.13 million in Q3 2026, up 40.0% from $4.38 million a year earlier and unchanged from the prior quarter.
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Analysis
People (PPLI) Long-Term Debt Repayments (2019 - 2026) Analysis & Trends
On a TTM basis, People's Long-Term Debt Repayments came in at $22.75 million as of Sep 30, 2026, down 98.5% 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 rose in three of the last seven quarters, with growth averaging 43.0%.
- 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 (Q2 2026), $6.13 million (Q1 2026) and $4.38 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn | 3.63 Bn |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn | 964.00 Mn |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn | - |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn | - |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn | - |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn | 2.04 Bn |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn | - |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn | - |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - | - |
| 10 | People | 3.16 Bn | -1.33 Bn | 275.13 Mn | 6.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.13 Mn |
| 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 |
API Access
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_KEYimport 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();