Prudential (PUK) Revenue (2015 - 2025)
Prudential's (PUK) quarterly Revenue came in at $3.5 billion in Q4 2025, up 320.6% quarter-over-quarter from $830.0 million in Q4 2020.
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Analysis
Prudential (PUK) Revenue (2015 - 2025) Analysis & Trends
Prudential has disclosed Revenue across 6 years of filings, most recently posting $3.5 billion for Q4 2025.
- In Q4 2025, Revenue changed N/A year-over-year to $3.5 billion; the TTM figure through Dec 2025 stood at $24.9 billion (changed N/A YoY), while the FY2025 annual figure was $11.5 billion, up 6.99% from the prior year.
- Revenue came in at $3.5 billion for Q4 2025 at Prudential, up from $830.0 million in the prior quarter.
- In the past five years, Revenue ranged from a high of $3.5 billion in Q4 2025 to a low of $3.5 billion in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Asml Holding | 647.47 Bn | 631.49 Bn | 5.90 Bn | 11.31 Bn |
| 2 | General Electric | 325.83 Bn | 316.71 Bn | 6.95 Bn | 13.35 Bn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn | 15.38 Bn |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn | 24.77 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 | 2.25 Bn |
| 9 | Unilever | 134.81 Bn | 130.23 Bn | - | 15.16 Bn |
| 10 | Prudential | 33.23 Bn | 27.24 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 3.49 Bn |
| Dec 31, 2020 | 830.00 Mn |
| Dec 31, 2019 | 13.00 Mn |
| Dec 31, 2017 | 20.55 Bn |
| Dec 31, 2016 | 18.65 Bn |
| Dec 31, 2015 | 26.29 Bn |
API Access
Prudential 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=revenue&ticker=PUK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=PUK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();