Prudential (PUK) Accumulated Expenses (2018 - 2022)
Prudential's Accumulated Expenses came in at $20.51 billion for the quarter ended Dec 31, 2022, up 2.6% from $19.99 billion a year earlier.
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Analysis
Prudential (PUK) Accumulated Expenses (2018 - 2022) Analysis & Trends
Going back to the quarter ended Dec 31, 2018, Prudential's Accumulated Expenses data covers 5 quarters.
- Accumulated Expenses carries a four-year compound annual growth rate of -21.8% (years ended Dec 2018 to Dec 2022).
- Going back by year, Accumulated Expenses was $19.99 billion in the year ended Dec 31, 2021 (-3.2%), $20.65 billion in the year ended Dec 31, 2020 (+8.6%), $19.02 billion in the year ended Dec 31, 2019 (-65.3%) and $54.84 billion in the year ended Dec 31, 2018.
- The figure for the quarter ended Dec 31, 2022 represents the highest quarterly Accumulated Expenses since the quarter ended Dec 31, 2020.
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, 2022 | 77.00 Mn |
| Dec 31, 2019 | 149.00 Mn |
| Dec 31, 2018 | 148.51 Mn |
API Access
Prudential Accumulated 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=accumulated-expenses&ticker=PUK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=PUK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();