People (PPLI) Cost of Revenue (2019 - 2026)
People (PPLI) reported Cost of Revenue of $156.54 million for Q2 2026, down 2.6% from $160.79 million a year earlier and down 2.0% from the prior quarter.
People (PPLI) Cost of Revenue (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, People's Cost of Revenue came in at $718.82 million, down 14.2% year-over-year; for FY2025, it came in at $809.77 million, down 19.2% from FY2024.
- Cost of Revenue has declined for three consecutive years, though with a five-year compound annual growth rate of 1.7% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $1 billion in FY2024 (-17.8%), $1.22 billion in FY2023 (-36.9%), $1.93 billion in FY2022 (+49.2%) and $1.3 billion in FY2021 (+73.9%).
- The Q2 2026 figure ranks as the lowest quarterly Cost of Revenue since Q2 2020.
- Year over year, Cost of Revenue has now declined in each of the last six quarters, with an average decline of 13.7% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was Q1 2022 (growth of 133.0%); the low point was Q4 2023 (a decline of 58.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $159.77 million (Q1 2026), $195.05 million (Q4 2025) and $207.46 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 45.94 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 11.33 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 6.04 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | 24.48 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 1.88 Bn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 7.82 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | - |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | 7.08 Bn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 3.70 Bn |
| 10 | People | 2.88 Bn | -1.30 Bn | 280.20 Mn | 156.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 156.54 Mn |
| Mar 31, 2026 | 159.77 Mn |
| Dec 31, 2025 | 195.05 Mn |
| Sep 30, 2025 | 207.46 Mn |
| Jun 30, 2025 | 160.79 Mn |
| Mar 31, 2025 | 187.32 Mn |
| Dec 31, 2024 | 246.53 Mn |
| Sep 30, 2024 | 243.06 Mn |
| Jun 30, 2024 | 253.35 Mn |
| Mar 31, 2024 | 259.47 Mn |
| Dec 31, 2023 | 180.87 Mn |
| Sep 30, 2023 | 342.35 Mn |
| Jun 30, 2023 | 353.08 Mn |
| Mar 31, 2023 | 342.93 Mn |
| Dec 31, 2022 | 438.35 Mn |
| Sep 30, 2022 | 451.25 Mn |
| Jun 30, 2022 | 509.57 Mn |
| Mar 31, 2022 | 533.60 Mn |
| Dec 31, 2021 | 467.54 Mn |
| Sep 30, 2021 | 340.51 Mn |
People Cost of Revenue 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=cost-of-revenue&ticker=PPLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=PPLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();