Park National (PRK) Retained Earnings (2009 - 2026)
Park National (PRK) posted Retained Earnings of $1.13 billion for Q2 2026, up 9.3% from $1.03 billion a year earlier and up 3.5% from the prior quarter.
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Analysis
Park National (PRK) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Park National's Retained Earnings came in at $1.07 billion, up 9.2% from FY2024.
- Annual Retained Earnings has increased for 15 consecutive years, with a five-year compound annual growth rate of 8.7% (FY2020 to FY2025).
- In prior years, Park National's Retained Earnings was $977.6 million in FY2024 (+8.2%), $903.88 million in FY2023 (+6.7%), $847.24 million in FY2022 (+9.1%) and $776.29 million in FY2021 (+10.1%).
- The Q2 2026 figure stands as the highest quarterly Retained Earnings in data going back to Q4 2009.
- On a year-over-year basis, Retained Earnings has increased in each of the last 60 quarters, with growth averaging 8.9% over the last eight quarters.
- The year-over-year growth in Retained Earnings has ranged between 6.7% (Q4 2023) and 12.3% (Q3 2021) over the last five years.
- According to Business Quant data, Retained Earnings for the three prior quarters was $1.09 billion (Q1 2026), $1.07 billion (Q4 2025) and $1.06 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 455.59 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 735.16 Mn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 278.81 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 125.72 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 73.85 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 177.98 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 241.40 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 101.18 Bn |
| 10 | Park National | 3.24 Bn | -3.51 Bn | - | 1.17 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.17 Bn |
| Jun 30, 2026 | 1.13 Bn |
| Mar 31, 2026 | 1.09 Bn |
| Dec 31, 2025 | 1.07 Bn |
| Sep 30, 2025 | 1.06 Bn |
| Jun 30, 2025 | 1.03 Bn |
| Mar 31, 2025 | 1.00 Bn |
| Dec 31, 2024 | 977.60 Mn |
| Sep 30, 2024 | 964.01 Mn |
| Jun 30, 2024 | 943.15 Mn |
| Mar 31, 2024 | 921.10 Mn |
| Dec 31, 2023 | 903.88 Mn |
| Sep 30, 2023 | 896.63 Mn |
| Jun 30, 2023 | 876.83 Mn |
| Mar 31, 2023 | 862.52 Mn |
| Dec 31, 2022 | 847.24 Mn |
| Sep 30, 2022 | 839.21 Mn |
| Jun 30, 2022 | 814.24 Mn |
| Mar 31, 2022 | 797.03 Mn |
| Dec 31, 2021 | 776.29 Mn |
API Access
Park National 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=PRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "PRK", "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=PRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();