Prudential (PUK) Intangibles (2009 - 2026)
Prudential's (PUK) quarterly Intangibles came in at $3.7 billion in Q2 2026, down 5.08% year-over-year from $3.9 billion in Q2 2025, and down 5.53% quarter-over-quarter from $4.0 billion in Q4 2025.
Prudential (PUK) Intangibles (2009 - 2026) Analysis & Trends
Prudential has disclosed Intangibles across 16 years of filings, most recently posting $3.7 billion for Q2 2026.
- In Q2 2026, Intangibles fell 5.08% year-over-year to $3.7 billion; the TTM figure through Jun 2026 stood at $3.7 billion (down 5.08% YoY), while the FY2025 annual figure was $4.0 billion, up 3.5% from the prior year.
- Intangibles came in at $3.7 billion for Q2 2026 at Prudential, down from $4.0 billion in the prior quarter.
- In the past five years, Intangibles ranged from a high of $4.0 billion in Q4 2025 to a low of $3.7 billion in Q2 2026.
- Average Intangibles over 4 years is $3.9 billion, with a median of $3.9 billion recorded in 2022.
- Year-over-year, Intangibles climbed 3.5% in 2025 and dropped 5.08% in 2026.
- Over 4 years, Intangibles stood at $3.9 billion in 2022, then slipped by 1.54% to $3.8 billion in 2024, then increased by 3.5% to $4.0 billion in 2025, then retreated by 5.53% to $3.7 billion in 2026.
- Per Business Quant data, the three most recent Intangibles figures were $3.7 billion in Q2 2026, $4.0 billion in Q4 2025, and $3.9 billion in Q2 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Asml Holding | 647.47 Bn | 631.49 Bn | 5.90 Bn | 628.70 Mn |
| 2 | General Electric | 325.83 Bn | 316.71 Bn | 6.95 Bn | 4.09 Bn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn | 37.72 Bn |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn | 5.00 Bn |
| 5 | Bhp | 219.16 Bn | 200.62 Bn | - | - |
| 6 | Diageo | 208.21 Bn | 208.26 Bn | - | - |
| 7 | Rio Tinto | 188.09 Bn | 183.71 Bn | - | 5.13 Bn |
| 8 | Ferrari | 151.21 Bn | 149.46 Bn | 1.18 Bn | 1.98 Bn |
| 9 | Unilever | 134.81 Bn | 130.23 Bn | - | 20.41 Bn |
| 10 | Prudential | 33.23 Bn | 27.24 Bn | - | 3.74 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.74 Bn |
| Dec 31, 2025 | 3.96 Bn |
| Jun 30, 2025 | 3.94 Bn |
| Dec 31, 2024 | 3.82 Bn |
| Dec 31, 2022 | 3.88 Bn |
| Jun 30, 2022 | 3.83 Bn |
| Jun 30, 2021 | 3.95 Bn |
| Dec 31, 2020 | 5.45 Bn |
| Jun 30, 2020 | 3.94 Bn |
| Dec 31, 2019 | 4.34 Bn |
| Jun 30, 2019 | 2.89 Bn |
| Dec 31, 2018 | 11.26 Bn |
| Jun 30, 2018 | 11.58 Bn |
| Dec 31, 2017 | 3.16 Bn |
| Dec 31, 2016 | 2.70 Bn |
| Jun 30, 2016 | 16.19 Bn |
| Dec 31, 2015 | 15.36 Bn |
| Jun 30, 2015 | 13.78 Bn |
| Dec 31, 2014 | 14.21 Bn |
| Jun 30, 2014 | 12.86 Bn |
Prudential 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=intangibles&ticker=PUK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "ticker": "PUK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=intangibles&ticker=PUK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();