People (PPLI) Operating Expenses (2019 - 2026)
People (PPLI) posted Operating Expenses of $451.02 million for Q2 2026, up 0.1% from $450.74 million a year earlier but down 2.6% from the prior quarter.
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Analysis
People (PPLI) Operating Expenses (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at People was $2.28 billion, up 3.1% year-over-year; for FY2025, it was $2.49 billion, down 6.0% from FY2024.
- Annual Operating Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -5.5% (FY2020 to FY2025).
- In prior years, People's Operating Expenses was $2.65 billion in FY2024 (-16.0%), $3.16 billion in FY2023 (-44.7%), $5.71 billion in FY2022 (+48.8%) and $3.84 billion in FY2021 (+16.2%).
- Quarterly Operating Expenses has run from a low of -$373.82 million in Q4 2023 to a high of $1.53 billion in Q2 2022 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last three quarters, with an average decline of 14.2% over the last seven quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2022, with growth of 80.7%; the weakest was Q3 2024, with a decline of 44.6%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $462.96 million (Q1 2026), $759.35 million (Q4 2025) and $610.19 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | -5.39 Bn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 640.46 Mn |
| 10 | People | 2.88 Bn | -1.30 Bn | 280.20 Mn | 451.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 451.02 Mn |
| Mar 31, 2026 | 462.96 Mn |
| Dec 31, 2025 | 759.35 Mn |
| Sep 30, 2025 | 610.19 Mn |
| Jun 30, 2025 | 450.74 Mn |
| Mar 31, 2025 | 457.56 Mn |
| Dec 31, 2024 | 673.35 Mn |
| Sep 30, 2024 | 633.85 Mn |
| Jun 30, 2024 | 655.88 Mn |
| Mar 31, 2024 | 687.71 Mn |
| Dec 31, 2023 | -373.82 Mn |
| Sep 30, 2023 | 1.14 Bn |
| Jun 30, 2023 | 1.17 Bn |
| Mar 31, 2023 | 1.22 Bn |
| Dec 31, 2022 | 1.32 Bn |
| Sep 30, 2022 | 1.43 Bn |
| Jun 30, 2022 | 1.53 Bn |
| Mar 31, 2022 | 1.43 Bn |
| Dec 31, 2021 | 1.23 Bn |
| Sep 30, 2021 | 956.14 Mn |
API Access
People 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=operating-expenses&ticker=PPLI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=PPLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();