People (PPLI) Amortization - Intangibles (2019 - 2026)
People (PPLI) recorded Amortization - Intangibles of $19.04 million in Q2 2026, down 15.1% from $22.42 million a year earlier and unchanged from the prior quarter.
People (PPLI) Amortization - Intangibles (2019 - 2026) Analysis & Trends
On a TTM basis, People's Amortization - Intangibles came in at $84.26 million as of Jun 30, 2026, down 25.6% year-over-year; for FY2025, it was $93.12 million, down 34.4% from FY2024.
- Annual Amortization - Intangibles has declined for three straight years, with a five-year compound annual growth rate of -6.0% (FY2020 to FY2025).
- Across earlier years, Amortization - Intangibles came in at $141.91 million in FY2024 (-50.7%), $288.01 million in FY2023 (-6.4%), $307.72 million in FY2022 (+311.2%) and $74.84 million in FY2021 (-41.0%).
- Quarterly Amortization - Intangibles has ranged from $14.07 million in Q3 2021 to $120.78 million in Q3 2022 over the past five years.
- On a year-over-year basis, Amortization - Intangibles has declined for ten consecutive quarters, with an average decline of 35.8% over the last eight quarters.
- Peak year-over-year performance for Amortization - Intangibles in the last five years was growth of 758.6% in Q3 2022, against a decline of 73.7% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $19.04 million (Q1 2026), $22.66 million (Q4 2025) and $23.51 million (Q3 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.04 Mn |
| Mar 31, 2026 | 19.04 Mn |
| Dec 31, 2025 | 22.66 Mn |
| Sep 30, 2025 | 23.51 Mn |
| Jun 30, 2025 | 22.42 Mn |
| Mar 31, 2025 | 22.42 Mn |
| Dec 31, 2024 | 32.11 Mn |
| Sep 30, 2024 | 36.36 Mn |
| Jun 30, 2024 | 36.71 Mn |
| Mar 31, 2024 | 36.73 Mn |
| Dec 31, 2023 | 117.85 Mn |
| Sep 30, 2023 | 61.37 Mn |
| Jun 30, 2023 | 54.18 Mn |
| Mar 31, 2023 | 54.61 Mn |
| Dec 31, 2022 | 73.67 Mn |
| Sep 30, 2022 | 120.78 Mn |
| Jun 30, 2022 | 56.08 Mn |
| Mar 31, 2022 | 57.19 Mn |
| Dec 31, 2021 | 30.30 Mn |
| Sep 30, 2021 | 14.07 Mn |
People Amortization - Intangibles 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=amortization-intangibles&ticker=PPLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=PPLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();