Prudential (PUK) Tax Provisions (2009 - 2020)
Prudential (PUK) reported Tax Provisions of $54 million for the year ended Dec 31, 2025, down 93.4% from $824 million a year earlier.
Analysis
Prudential (PUK) Tax Provisions (2009 - 2020) Analysis & Trends
Dating back to the year ended Dec 31, 2009, Prudential's Tax Provisions record includes 14 years.
- Tax Provisions has a five-year compound annual growth rate of -40.3% (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 ranks as the lowest annual Tax Provisions since the year ended Dec 31, 2011.
- According to Business Quant data, Tax Provisions came in at $824 million in the year ended Dec 31, 2024 (+47.1%), $560 million in the year ended Dec 31, 2023 (+17.9%), $475 million in the year ended Dec 31, 2022 (-40.9%) and $804 million in the year ended Dec 31, 2021 (+13.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 138.13 Bn | 84.72 Bn | 9.13 Bn | 742.00 Mn |
| 2 | Progressive | 128.43 Bn | 104.27 Bn | 9.04 Bn | 898.00 Mn |
| 3 | Marsh & Mclennan Companies | 90.87 Bn | 83.03 Bn | - | 221.00 Mn |
| 4 | Travelers Companies | 82.77 Bn | 59.02 Bn | 6.23 Bn | 559.00 Mn |
| 5 | Manulife Financial | 75.88 Bn | -19.01 Bn | - | - |
| 6 | Arthur J. Gallagher | 66.59 Bn | 60.99 Bn | - | 90.00 Mn |
| 7 | Metlife | 64.90 Bn | -41.88 Bn | 7.82 Bn | 256.00 Mn |
| 8 | Allstate | 63.88 Bn | 25.15 Bn | 8.73 Bn | 871.00 Mn |
| 9 | Aon | 62.81 Bn | 56.03 Bn | - | 159.00 Mn |
| 10 | Prudential | 30.90 Bn | -722.61 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 2.80 Bn |
| Dec 31, 2019 | 3.07 Bn |
| Dec 31, 2013 | -2.23 Bn |
| Dec 31, 2012 | -1.91 Bn |
| Dec 31, 2011 | -1.64 Bn |
| Dec 31, 2010 | -837.33 Mn |
| Dec 31, 2009 | -785.70 Mn |
API Access
Prudential Tax Provisions 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=tax-provisions&ticker=PUK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=PUK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();