Provident Financial Services (PFS) Retained Earnings (2009 - 2026)
Provident Financial Services (PFS) reported Retained Earnings of $1.25 billion for Q2 2026, up 17.7% from $1.06 billion a year earlier and up 4.0% from the prior quarter.
Provident Financial Services (PFS) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Provident Financial Services posted Retained Earnings of $1.15 billion, up 16.7% from FY2024.
- Retained Earnings has increased for 16 consecutive years, with a five-year compound annual growth rate of 10.0% (FY2020 to FY2025).
- By year, Retained Earnings came in at $989.11 million in FY2024 (+1.5%), $974.54 million in FY2023 (+6.1%), $918.16 million in FY2022 (+12.7%) and $814.53 million in FY2021 (+13.4%).
- The Q2 2026 figure ranks as the highest quarterly Retained Earnings in data going back to Q4 2009.
- Year over year, Retained Earnings has now increased in each of the last 48 quarters, with growth averaging 10.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 0.4% in Q2 2024 to 17.7% in Q1 2026.
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.2 billion (Q1 2026), $1.15 billion (Q4 2025) and $1.1 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 445.02 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 661.60 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 274.52 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | 21.39 Bn |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 122.77 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 74.21 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 102.78 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 174.35 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 237.23 Bn |
| 10 | Provident Financial Services | 2.90 Bn | 2.16 Bn | - | 1.25 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.25 Bn |
| Mar 31, 2026 | 1.20 Bn |
| Dec 31, 2025 | 1.15 Bn |
| Sep 30, 2025 | 1.10 Bn |
| Jun 30, 2025 | 1.06 Bn |
| Mar 31, 2025 | 1.02 Bn |
| Dec 31, 2024 | 989.11 Mn |
| Sep 30, 2024 | 973.00 Mn |
| Jun 30, 2024 | 957.98 Mn |
| Mar 31, 2024 | 988.48 Mn |
| Dec 31, 2023 | 974.54 Mn |
| Sep 30, 2023 | 964.80 Mn |
| Jun 30, 2023 | 954.40 Mn |
| Mar 31, 2023 | 940.53 Mn |
| Dec 31, 2022 | 918.16 Mn |
| Sep 30, 2022 | 886.33 Mn |
| Jun 30, 2022 | 860.98 Mn |
| Mar 31, 2022 | 839.81 Mn |
| Dec 31, 2021 | 814.53 Mn |
| Sep 30, 2021 | 794.71 Mn |
Provident Financial Services Retained Earnings 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=retained-earnings&ticker=PFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "PFS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=retained-earnings&ticker=PFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();