Prudential (PUK) Net Cash Flow (2009 - 2025)
Prudential's (PUK) quarterly Net Cash Flow came in at -$1.3 billion in Q4 2025, up 49.7% year-over-year from -$849.0 million in Q4 2024, and up 49.7% quarter-over-quarter from -$2.5 billion in Q4 2024.
Prudential (PUK) Net Cash Flow (2009 - 2025) Analysis & Trends
Prudential has disclosed Net Cash Flow across 15 years of filings, most recently posting -$1.3 billion for Q4 2025.
- In Q4 2025, Net Cash Flow rose 49.7% year-over-year to -$1.3 billion; the TTM figure through Dec 2025 stood at -$2.9 billion (down 61.96% YoY), while the FY2025 annual figure was $1.8 billion, up 65.8% from the prior year.
- Net Cash Flow came in at -$1.3 billion for Q4 2025 at Prudential, up from -$2.5 billion in the prior quarter.
- In the past five years, Net Cash Flow ranged from a high of -$59.0 million in Q4 2021 to a low of -$2.5 billion in Q4 2024.
- Average Net Cash Flow over 3 years is -$1.3 billion, with a median of -$1.3 billion recorded in 2025.
- Year-over-year, Net Cash Flow tumbled 105.98% in 2021 and jumped 49.7% in 2025.
- Over 3 years, Net Cash Flow stood at -$59.0 million in 2021, then plunged by 4183.05% to -$2.5 billion in 2024, then soared by 49.7% to -$1.3 billion in 2025.
- Per Business Quant data, the three most recent Net Cash Flow figures were -$1.3 billion in Q4 2025, -$2.5 billion in Q4 2024, and -$59.0 million in Q4 2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Cash Flow (Qtr) |
|---|---|---|---|---|---|
| 1 | Asml Holding | 647.47 Bn | 631.49 Bn | 5.90 Bn | - |
| 2 | General Electric | 325.83 Bn | 316.71 Bn | 6.95 Bn | -1.36 Bn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn | -94.00 Mn |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 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 | - | - |
| 8 | Ferrari | 151.21 Bn | 149.46 Bn | 1.18 Bn | 142.74 Mn |
| 9 | Unilever | 134.81 Bn | 130.23 Bn | - | - |
| 10 | Prudential | 33.23 Bn | 27.24 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -1.27 Bn |
| Dec 31, 2024 | -2.53 Bn |
| Dec 31, 2021 | -59.00 Mn |
| Dec 31, 2020 | 987.00 Mn |
| Dec 31, 2019 | -173.00 Mn |
| Dec 31, 2018 | -629.23 Mn |
| Dec 31, 2017 | 1.02 Bn |
| Dec 31, 2016 | 374.21 Mn |
| Dec 31, 2015 | 3.23 Bn |
| Dec 31, 2014 | 980.75 Mn |
| Sep 19, 2014 | -1.21 Bn |
| Dec 31, 2013 | 1.81 Bn |
| Sep 16, 2013 | 849.53 Mn |
| Jun 30, 2013 | 1.39 Bn |
| Dec 31, 2012 | -178.25 Mn |
| Oct 22, 2012 | -161.49 Mn |
| Jun 30, 2012 | -560.58 Mn |
| Dec 31, 2011 | 1.77 Bn |
| Sep 30, 2011 | 3.07 Bn |
| Dec 31, 2010 | 1.24 Bn |
Prudential Net Cash Flow 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=net-cash-flow&ticker=PUK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=PUK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();