Park National (PRK) Cash & Equivalents (2009 - 2026)
Park National's Cash & Equivalents was $580.31 million in Q2 2026, up 200.5% from $193.12 million a year earlier but down 41.0% from the prior quarter.
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Analysis
Park National (PRK) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Park National came in at $233.51 million, up 45.4% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of -8.8% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $160.57 million in FY2024 (-26.4%), $218.27 million in FY2023 (+15.0%), $189.73 million in FY2022 (-13.4%) and $219.18 million in FY2021 (-40.8%).
- Quarterly Cash & Equivalents has moved between $160.57 million (Q4 2024) and $983.14 million (Q1 2026) over five years.
- Compared with a year earlier, Cash & Equivalents has increased for four straight quarters, with growth averaging 60.4% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q1 2026 (growth of 313.8%); the worst was Q3 2022 (a decline of 76.4%).
- Per Business Quant data, PRK's Cash & Equivalents in the three quarters before Q2 2026 was $983.14 million (Q1 2026), $233.51 million (Q4 2025) and $218.91 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | - |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 229.75 Bn |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 227.80 Bn |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 160.14 Bn |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 45.78 Bn |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 187.27 Bn |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | - |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | - |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 4.86 Bn |
| 10 | Park National | 3.30 Bn | -2.72 Bn | - | 580.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 580.31 Mn |
| Mar 31, 2026 | 983.14 Mn |
| Dec 31, 2025 | 233.51 Mn |
| Sep 30, 2025 | 218.91 Mn |
| Jun 30, 2025 | 193.12 Mn |
| Mar 31, 2025 | 237.61 Mn |
| Dec 31, 2024 | 160.57 Mn |
| Sep 30, 2024 | 201.68 Mn |
| Jun 30, 2024 | 261.47 Mn |
| Mar 31, 2024 | 306.08 Mn |
| Dec 31, 2023 | 218.27 Mn |
| Sep 30, 2023 | 223.62 Mn |
| Jun 30, 2023 | 230.40 Mn |
| Mar 31, 2023 | 261.92 Mn |
| Dec 31, 2022 | 189.73 Mn |
| Sep 30, 2022 | 207.43 Mn |
| Jun 30, 2022 | 246.44 Mn |
| Mar 31, 2022 | 246.89 Mn |
| Dec 31, 2021 | 219.18 Mn |
| Sep 30, 2021 | 877.40 Mn |
API Access
Park National Cash & Equivalents 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=cash-and-equivalents&ticker=PRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=PRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();