Prudential (PUK) Change in Taxes (2009 - 2025)
Prudential's (PUK) quarterly Change in Taxes came in at -$518.0 million in Q4 2025, up 5.65% year-over-year from -$490.3 million in Q4 2024, and up 5.65% quarter-over-quarter from -$549.0 million in Q4 2024.
Prudential (PUK) Change in Taxes (2009 - 2025) Analysis & Trends
Prudential has disclosed Change in Taxes across 7 years of filings, most recently posting -$518.0 million for Q4 2025.
- In Q4 2025, Change in Taxes rose 5.65% year-over-year to -$518.0 million; the TTM figure through Dec 2025 stood at -$1.9 billion (up 34.14% YoY), while the FY2025 annual figure was -$518.0 million, up 5.65% from the prior year.
- Change in Taxes came in at -$518.0 million for Q4 2025 at Prudential, up from -$549.0 million in the prior quarter.
- In the past five years, Change in Taxes ranged from a high of -$518.0 million in Q4 2025 to a low of -$549.0 million in Q4 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Taxes (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 | - |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn | -1.53 Bn |
| 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 | -136.41 Mn |
| 9 | Unilever | 134.81 Bn | 130.23 Bn | - | - |
| 10 | Prudential | 33.23 Bn | 27.24 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -518.00 Mn |
| Dec 31, 2024 | -549.00 Mn |
| Dec 31, 2019 | -322.00 Mn |
| Dec 31, 2018 | -477.00 Mn |
| Dec 31, 2012 | -1.49 Bn |
| Dec 31, 2011 | -881.65 Mn |
| Dec 31, 2009 | -326.70 Mn |
Prudential Change in Taxes 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=change-in-taxes&ticker=PUK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=PUK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();