Prudential Financial (PRU) Operating Expenses (2009 - 2026)
Prudential Financial's Operating Expenses came in at $14.48 billion for Q2 2026, up 11.5% from $12.99 billion a year earlier but down 2.1% from the prior quarter.
Prudential Financial (PRU) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Prudential Financial reported Operating Expenses of $59.86 billion, up 4.7% year-over-year; for FY2025, it was $56.12 billion, down 16.5% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $67.2 billion in FY2024 (+32.0%), $50.91 billion in FY2023 (-13.4%), $58.77 billion in FY2022 (-2.7%) and $60.41 billion in FY2021 (+5.3%).
- The five-year range for quarterly Operating Expenses is $9.41 billion (Q3 2023) to $22.12 billion (Q1 2024).
- Year-over-year, Operating Expenses has increased for three consecutive quarters, with growth averaging 9.7% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2024 (growth of 101.2%), and the weakest in Q3 2023 (a decline of 53.7%).
- Business Quant data shows PRU's Operating Expenses at $14.79 billion (Q1 2026), $14.48 billion (Q4 2025) and $16.11 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | 86.07 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 12.19 Bn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 19.40 Bn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 5.51 Bn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 9.39 Bn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | -902.21 Mn |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 3.59 Bn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | 14.45 Bn |
| 10 | Prudential Financial | 40.05 Bn | -87.61 Bn | 7.91 Bn | 14.48 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.48 Bn |
| Mar 31, 2026 | 14.79 Bn |
| Dec 31, 2025 | 14.48 Bn |
| Sep 30, 2025 | 16.11 Bn |
| Jun 30, 2025 | 12.99 Bn |
| Mar 31, 2025 | 12.55 Bn |
| Dec 31, 2024 | 12.67 Bn |
| Sep 30, 2024 | 18.94 Bn |
| Jun 30, 2024 | 13.47 Bn |
| Mar 31, 2024 | 22.12 Bn |
| Dec 31, 2023 | 13.42 Bn |
| Sep 30, 2023 | 9.41 Bn |
| Jun 30, 2023 | 12.88 Bn |
| Mar 31, 2023 | 15.20 Bn |
| Dec 31, 2022 | 13.47 Bn |
| Sep 30, 2022 | 20.33 Bn |
| Jun 30, 2022 | 12.46 Bn |
| Mar 31, 2022 | 12.51 Bn |
| Dec 31, 2021 | 13.90 Bn |
| Sep 30, 2021 | 19.84 Bn |
Prudential Financial 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=PRU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PRU", "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=PRU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();