Prudential (PUK) Restructuring Costs (2009 - 2025)
Prudential (PUK) posted Restructuring Costs of -$165 million for the quarter ended Dec 31, 2025, compared with -$197 million a year earlier.
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Analysis
Prudential (PUK) Restructuring Costs (2009 - 2025) Analysis & Trends
Since the quarter ended Dec 31, 2009, Prudential has reported Restructuring Costs for 17 quarters.
- In prior years, Prudential's Restructuring Costs was -$197 million in the year ended Dec 31, 2024, -$848 million in the year ended Dec 31, 2023 and $28 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Dec 31, 2025 stands as the highest quarterly Restructuring Costs since the quarter ended Dec 31, 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Chubb | 138.09 Bn | 84.67 Bn | 9.13 Bn |
| 2 | Progressive | 127.57 Bn | 103.40 Bn | 9.04 Bn |
| 3 | Marsh & Mclennan Companies | 89.82 Bn | 81.98 Bn | - |
| 4 | Travelers Companies | 80.92 Bn | 57.17 Bn | 6.23 Bn |
| 5 | Manulife Financial | 75.09 Bn | -19.79 Bn | - |
| 6 | Arthur J. Gallagher | 64.98 Bn | 59.38 Bn | - |
| 7 | Metlife | 64.10 Bn | -42.68 Bn | 7.82 Bn |
| 8 | Allstate | 63.22 Bn | 24.49 Bn | 8.73 Bn |
| 9 | Aon | 61.77 Bn | 54.99 Bn | - |
| 10 | Prudential | 30.68 Bn | -722.83 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -171.00 Mn |
| Dec 31, 2024 | -207.00 Mn |
| Dec 31, 2019 | -92.00 Mn |
| Dec 31, 2018 | -63.00 Mn |
| Dec 31, 2017 | -136.75 Mn |
| Dec 31, 2016 | -48.49 Mn |
| Dec 31, 2015 | -22.76 Mn |
| Dec 31, 2014 | -22.18 Mn |
| Dec 31, 2013 | -19.43 Mn |
| Dec 31, 2012 | -30.51 Mn |
| Dec 31, 2011 | -29.86 Mn |
| Dec 31, 2009 | -37.57 Mn |
API Access
Prudential Restructuring Costs 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=restructuring-costs&ticker=PUK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=PUK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();