Prudential (PUK) Cash & Equivalents (2009 - 2026)
Prudential's (PUK) quarterly Cash & Equivalents came in at $5.9 billion in Q2 2026, up 4.49% year-over-year from $5.6 billion in Q2 2025, and down 23.58% quarter-over-quarter from $7.7 billion in Q4 2025.
Prudential (PUK) Cash & Equivalents (2009 - 2026) Analysis & Trends
Prudential has disclosed Cash & Equivalents across 18 years of filings, most recently posting $5.9 billion for Q2 2026.
- In Q2 2026, Cash & Equivalents rose 4.49% year-over-year to $5.9 billion; the TTM figure through Jun 2026 stood at $5.9 billion (up 4.49% YoY), while the FY2025 annual figure was $7.7 billion, up 33.51% from the prior year.
- Cash & Equivalents came in at $5.9 billion for Q2 2026 at Prudential, down from $7.7 billion in the prior quarter.
- In the past five years, Cash & Equivalents ranged from a high of $44.6 billion in Q4 2022 to a low of $3.5 billion in Q4 2023.
- Average Cash & Equivalents over 5 years is $13.6 billion, with a median of $5.9 billion recorded in 2026.
- Year-over-year, Cash & Equivalents sank 92.12% in 2023 and jumped 64.16% in 2024.
- Over 5 years, Cash & Equivalents stood at $44.6 billion in 2022, then slumped by 92.12% to $3.5 billion in 2023, then jumped by 64.16% to $5.8 billion in 2024, then jumped by 33.51% to $7.7 billion in 2025, then fell by 23.58% to $5.9 billion in 2026.
- Per Business Quant data, the three most recent Cash & Equivalents figures were $5.9 billion in Q2 2026, $7.7 billion in Q4 2025, and $5.6 billion in Q2 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Asml Holding | 647.47 Bn | 631.49 Bn | 5.90 Bn | 15.51 Bn |
| 2 | General Electric | 325.83 Bn | 316.71 Bn | 6.95 Bn | 9.35 Bn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn | 4.89 Bn |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn | - |
| 5 | Bhp | 219.16 Bn | 200.62 Bn | - | 18.53 Bn |
| 6 | Diageo | 208.21 Bn | 208.26 Bn | - | 1.52 Bn |
| 7 | Rio Tinto | 188.09 Bn | 183.71 Bn | - | 8.91 Bn |
| 8 | Ferrari | 151.21 Bn | 149.46 Bn | 1.18 Bn | 1.73 Bn |
| 9 | Unilever | 134.81 Bn | 130.23 Bn | - | 5.49 Bn |
| 10 | Prudential | 33.23 Bn | 27.24 Bn | - | 5.89 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.89 Bn |
| Dec 31, 2025 | 7.71 Bn |
| Jun 30, 2025 | 5.64 Bn |
| Dec 31, 2024 | 5.77 Bn |
| Aug 28, 2024 | 3.97 Bn |
| Dec 31, 2023 | 3.52 Bn |
| Aug 30, 2023 | 38.86 Bn |
| Dec 31, 2022 | 44.65 Bn |
| Jun 30, 2022 | 6.42 Bn |
| Jun 30, 2021 | 6.30 Bn |
| Jun 30, 2020 | 8.38 Bn |
| Jun 30, 2019 | 6.63 Bn |
| Dec 31, 2018 | 6.11 Bn |
| Jun 30, 2018 | 11.51 Bn |
| Dec 31, 2017 | 7.71 Bn |
| Jun 30, 2017 | 7.42 Bn |
| Dec 31, 2016 | 6.30 Bn |
| Jun 30, 2016 | 12.25 Bn |
| Dec 31, 2015 | 11.81 Bn |
| Jun 30, 2015 | 12.70 Bn |
Prudential Cash & Equivalents 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=cash-and-equivalents&ticker=PUK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=PUK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();