People (PPLI) Other Operating Expenses (2019 - 2026)
People's Other Operating Expenses came in at $296.29 million for Q2 2026, down 5.3% from $312.82 million a year earlier and down 5.0% from the prior quarter.
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Analysis
People (PPLI) Other Operating Expenses (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, People reported Other Operating Expenses of $1.24 billion, down 23.1% year-over-year; for FY2025, it was $1.84 billion, down 2.3% from FY2024.
- Other Operating Expenses has declined in each of the last three years, with a five-year compound annual growth rate of -4.4% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $1.88 billion in FY2024 (-18.8%), $2.32 billion in FY2023 (-45.7%), $4.27 billion in FY2022 (+56.2%) and $2.73 billion in FY2021 (+18.7%).
- The five-year range for quarterly Other Operating Expenses is -$122.56 million (Q4 2023) to $1.16 billion (Q2 2022).
- Year-over-year, Other Operating Expenses increased in 1 of the last seven quarters, with an average decline of 26.6%.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q1 2022 (growth of 93.3%), and the weakest in Q3 2025 (a decline of 92.9%).
- Business Quant data shows PPLI's Other Operating Expenses at $311.84 million (Q1 2026), $598.28 million (Q4 2025) and $32.6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 7 | Booking Holdings | 124.83 Bn | 57.88 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 296.29 Mn |
| Mar 31, 2026 | 311.84 Mn |
| Dec 31, 2025 | 598.28 Mn |
| Sep 30, 2025 | 32.60 Mn |
| Jun 30, 2025 | 312.82 Mn |
| Mar 31, 2025 | 367.10 Mn |
| Dec 31, 2024 | 468.66 Mn |
| Sep 30, 2024 | 462.24 Mn |
| Jun 30, 2024 | 467.37 Mn |
| Mar 31, 2024 | 484.27 Mn |
| Dec 31, 2023 | -122.56 Mn |
| Sep 30, 2023 | 820.08 Mn |
| Jun 30, 2023 | 821.22 Mn |
| Mar 31, 2023 | 800.83 Mn |
| Dec 31, 2022 | 970.13 Mn |
| Sep 30, 2022 | 1.06 Bn |
| Jun 30, 2022 | 1.16 Bn |
| Mar 31, 2022 | 1.08 Bn |
| Dec 31, 2021 | 858.38 Mn |
| Sep 30, 2021 | 702.76 Mn |
API Access
People Other Operating 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=other-operating-expenses&ticker=PPLI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=PPLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();