Prudential (PUK) Accumulated Expenses (2016 - 2024)
Prudential's (PUK) quarterly Accumulated Expenses came in at -$165.0 million in Q4 2024, down 371.43% year-over-year from $60.8 million in Q1 2024, and down 371.43% quarter-over-quarter from -$35.0 million in Q4 2023.
Prudential (PUK) Accumulated Expenses (2016 - 2024) Analysis & Trends
Prudential has disclosed Accumulated Expenses across 9 years of filings, most recently posting -$165.0 million for Q4 2024.
- In Q4 2024, Accumulated Expenses fell 371.43% year-over-year to -$165.0 million; the TTM figure through Dec 2024 stood at -$165.0 million (down 371.43% YoY), while the FY2024 annual figure was -$165.0 million, down 371.43% from the prior year.
- Accumulated Expenses came in at -$165.0 million for Q4 2024 at Prudential, down from -$35.0 million in the prior quarter.
- In the past five years, Accumulated Expenses ranged from a high of $77.0 million in Q4 2021 to a low of -$165.0 million in Q4 2024.
- Average Accumulated Expenses over 5 years is $2.0 million, with a median of $59.0 million recorded in 2022.
- Year-over-year, Accumulated Expenses grew 8.82% in 2020 and tumbled 371.43% in 2024.
- Over 5 years, Accumulated Expenses stood at $74.0 million in 2020, then climbed by 4.05% to $77.0 million in 2021, then declined by 23.38% to $59.0 million in 2022, then sank by 159.32% to -$35.0 million in 2023, then plunged by 371.43% to -$165.0 million in 2024.
- Per Business Quant data, the three most recent Accumulated Expenses figures were -$165.0 million in Q4 2024, -$35.0 million in Q4 2023, and $59.0 million in Q4 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Asml Holding | 647.47 Bn | 631.49 Bn | 5.90 Bn |
| 2 | General Electric | 325.83 Bn | 316.71 Bn | 6.95 Bn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn |
| 5 | Bhp | 219.16 Bn | 200.62 Bn | - |
| 6 | Diageo | 208.21 Bn | 208.26 Bn | - |
| 7 | Rio Tinto | 188.09 Bn | 183.71 Bn | - |
| 8 | Ferrari | 151.21 Bn | 149.46 Bn | 1.18 Bn |
| 9 | Unilever | 134.81 Bn | 130.23 Bn | - |
| 10 | Prudential | 33.23 Bn | 27.24 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -165.00 Mn |
| Dec 31, 2023 | -35.00 Mn |
| Dec 31, 2022 | 59.00 Mn |
| Dec 31, 2021 | 77.00 Mn |
| Dec 31, 2020 | 74.00 Mn |
| Dec 31, 2019 | 68.00 Mn |
| Dec 31, 2018 | 150.55 Mn |
| Dec 31, 2017 | 132.77 Mn |
| Dec 31, 2016 | 111.89 Mn |
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_KEY
import 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();