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 | 140.76 Bn | 86.40 Bn | 8.67 Bn |
| 2 | Progressive | 132.42 Bn | 107.94 Bn | 8.29 Bn |
| 3 | Marsh & Mclennan Companies | 97.25 Bn | 89.41 Bn | - |
| 4 | Travelers Companies | 81.75 Bn | 59.24 Bn | 5.93 Bn |
| 5 | Manulife Financial | 73.54 Bn | -21.96 Bn | - |
| 6 | Arthur J. Gallagher | 72.19 Bn | 66.78 Bn | - |
| 7 | Aon | 71.05 Bn | 50.25 Bn | - |
| 8 | Allstate | 64.22 Bn | 24.06 Bn | 7.41 Bn |
| 9 | Metlife | 63.14 Bn | -43.64 Bn | 7.82 Bn |
| 10 | Prudential | 31.97 Bn | -721.54 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();