People (PPLI) Accumulated Expenses (2019 - 2026)
People (PPLI) reported Accumulated Expenses of $342.31 million for Q2 2026, down 19.4% from $424.73 million a year earlier but up 1.1% from the prior quarter.
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Analysis
People (PPLI) Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025, People posted Accumulated Expenses of $391.37 million, down 23.2% from FY2024.
- Accumulated Expenses has declined for four consecutive years, though with a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $509.3 million in FY2024 (-24.2%), $671.53 million in FY2023 (-11.6%), $759.76 million in FY2022 (-22.7%) and $982.88 million in FY2021 (+188.7%).
- Five-year quarterly Accumulated Expenses spans a low of $338.54 million in Q1 2026 and a high of $982.88 million in Q4 2021.
- Year over year, Accumulated Expenses has now declined in each of the last 15 quarters, with an average decline of 23.3% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q4 2021 (growth of 188.7%); the low point was Q2 2025 (a decline of 34.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $338.54 million (Q1 2026), $391.37 million (Q4 2025) and $462.13 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,151.45 Bn | 3,908.98 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,760.82 Bn | 1,463.34 Bn | 49.47 Bn |
| 3 | Netflix | 292.52 Bn | 252.71 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 251.82 Bn | 65.59 Bn | 15.11 Bn |
| 5 | Shopify | 227.13 Bn | 204.31 Bn | 1.71 Bn |
| 6 | Uber Technologies | 140.09 Bn | 111.89 Bn | 6.38 Bn |
| 7 | Booking Holdings | 125.46 Bn | 58.51 Bn | - |
| 8 | PDD Holdings | 113.86 Bn | -129.92 Bn | 9.45 Bn |
| 9 | Spotify Technology | 109.08 Bn | 66.58 Bn | 1.86 Bn |
| 10 | People | 2.94 Bn | -1.23 Bn | 280.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 342.31 Mn |
| Mar 31, 2026 | 338.54 Mn |
| Dec 31, 2025 | 391.37 Mn |
| Sep 30, 2025 | 462.13 Mn |
| Jun 30, 2025 | 424.73 Mn |
| Mar 31, 2025 | 459.50 Mn |
| Dec 31, 2024 | 509.30 Mn |
| Sep 30, 2024 | 634.29 Mn |
| Jun 30, 2024 | 648.77 Mn |
| Mar 31, 2024 | 609.00 Mn |
| Dec 31, 2023 | 671.53 Mn |
| Sep 30, 2023 | 683.70 Mn |
| Jun 30, 2023 | 715.70 Mn |
| Mar 31, 2023 | 680.84 Mn |
| Dec 31, 2022 | 759.76 Mn |
| Sep 30, 2022 | 738.37 Mn |
| Jun 30, 2022 | 959.29 Mn |
| Mar 31, 2022 | 939.40 Mn |
| Dec 31, 2021 | 982.88 Mn |
| Sep 30, 2021 | 458.06 Mn |
API Access
People Accumulated 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=accumulated-expenses&ticker=PPLI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=PPLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();