Prudential (PUK) Operating Expenses (2009 - 2025)
Prudential's Operating Expenses was -$165 million in the quarter ended Dec 31, 2025, compared with -$197 million a year earlier.
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Analysis
Prudential (PUK) Operating Expenses (2009 - 2025) Analysis & Trends
From the quarter ended Dec 31, 2009 onward, Prudential has reported Operating Expenses for 17 quarters.
- In earlier years, Operating Expenses was -$197 million in the year ended Dec 31, 2024, $7.08 billion 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 marks the highest quarterly Operating Expenses since the quarter ended Dec 31, 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 138.35 Bn | 84.93 Bn | 9.13 Bn | 12.19 Bn |
| 2 | Progressive | 129.14 Bn | 104.97 Bn | 9.04 Bn | 19.40 Bn |
| 3 | Marsh & Mclennan Companies | 91.11 Bn | 83.27 Bn | - | 5.65 Bn |
| 4 | Travelers Companies | 83.32 Bn | 59.56 Bn | 6.23 Bn | 9.39 Bn |
| 5 | Manulife Financial | 75.74 Bn | -19.14 Bn | - | -902.21 Mn |
| 6 | Arthur J. Gallagher | 66.49 Bn | 60.90 Bn | - | 3.59 Bn |
| 7 | Metlife | 64.97 Bn | -41.81 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Allstate | 63.98 Bn | 25.25 Bn | 8.73 Bn | 14.45 Bn |
| 9 | Aon | 63.25 Bn | 56.46 Bn | - | 3.33 Bn |
| 10 | Prudential | 30.90 Bn | -722.61 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 | -212.32 Mn |
| Dec 31, 2017 | -136.75 Mn |
| Dec 31, 2016 | -48.49 Mn |
| Dec 31, 2015 | -22.76 Mn |
| Dec 31, 2014 | -25.35 Mn |
| Dec 31, 2013 | -22.67 Mn |
| Dec 31, 2012 | -41.75 Mn |
| Dec 31, 2011 | -29.86 Mn |
| Dec 31, 2009 | -47.37 Mn |
API Access
Prudential Operating Expenses 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=operating-expenses&ticker=PUK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=PUK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();