Park National (PRK) Free Cash Flow (2009 - 2026)
Park National's Free Cash Flow was $50.49 million in Q2 2026, up 4.8% from $48.19 million a year earlier and up 89.8% from the prior quarter.
Park National (PRK) Free Cash Flow (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Park National's Free Cash Flow was $184.24 million through Jun 30, 2026, up 6.1% year-over-year; for FY2025, it was $191.95 million, up 13.1% from FY2024.
- Free Cash Flow has now increased for three consecutive years, with a five-year compound annual growth rate of 18.3% (FY2020 to FY2025).
- In earlier years, Free Cash Flow was $169.67 million in FY2024 (+18.2%), $143.55 million in FY2023 (+11.5%), $128.71 million in FY2022 (-10.1%) and $143.24 million in FY2021 (+72.5%).
- Quarterly Free Cash Flow has moved between $21.74 million (Q1 2023) and $55.74 million (Q4 2025) over five years.
- Compared with a year earlier, Free Cash Flow was higher in five of the last eight quarters, with growth averaging 4.1%.
- The best year-over-year quarter for Free Cash Flow over five years was Q2 2024 (growth of 53.6%); the worst was Q3 2021 (a decline of 67.6%).
- Per Business Quant data, PRK's Free Cash Flow in the three quarters before Q2 2026 was $26.6 million (Q1 2026), $55.74 million (Q4 2025) and $51.41 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | -25.28 Bn |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 29.04 Bn |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | - |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | -3.57 Bn |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 25.17 Bn |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 5.60 Bn |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | - |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 6.78 Bn |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | -4.20 Bn |
| 10 | Park National | 3.30 Bn | -2.72 Bn | - | 50.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.49 Mn |
| Mar 31, 2026 | 26.60 Mn |
| Dec 31, 2025 | 55.74 Mn |
| Sep 30, 2025 | 51.41 Mn |
| Jun 30, 2025 | 48.19 Mn |
| Mar 31, 2025 | 36.61 Mn |
| Dec 31, 2024 | 47.13 Mn |
| Sep 30, 2024 | 41.67 Mn |
| Jun 30, 2024 | 49.00 Mn |
| Mar 31, 2024 | 31.86 Mn |
| Dec 31, 2023 | 52.03 Mn |
| Sep 30, 2023 | 37.88 Mn |
| Jun 30, 2023 | 31.89 Mn |
| Mar 31, 2023 | 21.74 Mn |
| Dec 31, 2022 | 45.67 Mn |
| Sep 30, 2022 | 30.32 Mn |
| Jun 30, 2022 | 26.54 Mn |
| Mar 31, 2022 | 26.19 Mn |
| Dec 31, 2021 | 41.29 Mn |
| Sep 30, 2021 | 29.60 Mn |
Park National Free Cash Flow 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=free-cash-flow&ticker=PRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "free-cash-flow", "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=free-cash-flow&ticker=PRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();