People (PPLI) Interest Expenses (2019 - 2026)
People's Interest Expenses came in at $25.87 million for Q2 2026, down 30.4% from $37.17 million a year earlier and unchanged from the prior quarter.
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Analysis
People (PPLI) Interest Expenses (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, People reported Interest Expenses of $106.27 million, down 19.5% year-over-year; for FY2025, it was $120.03 million, down 11.6% from FY2024.
- Interest Expenses carries a five-year compound annual growth rate of 49.3% (FY2020 to FY2025).
- Going back by year, Interest Expenses was $135.72 million in FY2024 (-1.3%), $137.5 million in FY2023 (+24.8%), $110.17 million in FY2022 (+221.5%) and $34.26 million in FY2021 (+112.0%).
- The five-year range for quarterly Interest Expenses is $6.03 million (Q3 2021) to $40.16 million (Q3 2023).
- Year-over-year, Interest Expenses has declined for four consecutive quarters, with an average decline of 5.1% over the last eight quarters.
- The fastest year-over-year change in Interest Expenses over five years came in Q3 2022 (growth of 387.9%), and the weakest in Q4 2023 (a decline of 43.1%).
- Business Quant data shows PPLI's Interest Expenses at $25.86 million (Q1 2026), $26.91 million (Q4 2025) and $27.64 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | - |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | - |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 175.69 Mn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | -345.42 Mn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 127.00 Mn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 300.00 Mn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | -24.41 Mn |
| 10 | People | 2.88 Bn | -1.30 Bn | 280.20 Mn | 25.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.87 Mn |
| Mar 31, 2026 | 25.86 Mn |
| Dec 31, 2025 | 26.91 Mn |
| Sep 30, 2025 | 27.64 Mn |
| Jun 30, 2025 | 37.17 Mn |
| Mar 31, 2025 | 28.31 Mn |
| Dec 31, 2024 | 31.91 Mn |
| Sep 30, 2024 | 34.66 Mn |
| Jun 30, 2024 | 34.47 Mn |
| Mar 31, 2024 | 34.68 Mn |
| Dec 31, 2023 | 20.09 Mn |
| Sep 30, 2023 | 40.16 Mn |
| Jun 30, 2023 | 39.08 Mn |
| Mar 31, 2023 | 38.17 Mn |
| Dec 31, 2022 | 35.30 Mn |
| Sep 30, 2022 | 29.43 Mn |
| Jun 30, 2022 | 23.52 Mn |
| Mar 31, 2022 | 21.91 Mn |
| Dec 31, 2021 | 15.80 Mn |
| Sep 30, 2021 | 6.03 Mn |
API Access
People Interest Expenses 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=interest-expenses&ticker=PPLI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=PPLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();