Park National (PRK) Revenue (2009 - 2026)
Park National (PRK) recorded Revenue of $178.4 million in Q2 2026, up 26.4% from $141.18 million a year earlier and up 11.8% from the prior quarter.
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Analysis
Park National (PRK) Revenue (2009 - 2026) Analysis & Trends
On a TTM basis, Park National's Revenue came in at $623.8 million as of Jun 30, 2026, up 14.8% year-over-year; for FY2025, it came in at $557.19 million, up 7.0% from FY2024.
- Annual Revenue has a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $520.61 million in FY2024 (+11.8%), $465.75 million in FY2023 (-3.6%), $482.99 million in FY2022 (+5.0%) and $459.84 million in FY2021 (+1.4%).
- The Q2 2026 figure is the highest quarterly Revenue in data going back to Q2 2009.
- On a year-over-year basis, Revenue has increased for ten consecutive quarters, with growth averaging 14.0% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 26.4% in Q2 2026, against a decline of 11.3% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $159.51 million (Q1 2026), $144.3 million (Q4 2025) and $141.59 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 50.17 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 29.96 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 18.62 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 20.34 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 13.30 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 18.68 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 21.87 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 9.94 Bn |
| 10 | Park National | 3.24 Bn | -3.51 Bn | - | 177.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 177.38 Mn |
| Jun 30, 2026 | 178.40 Mn |
| Mar 31, 2026 | 159.51 Mn |
| Dec 31, 2025 | 144.30 Mn |
| Sep 30, 2025 | 141.59 Mn |
| Jun 30, 2025 | 141.18 Mn |
| Mar 31, 2025 | 130.12 Mn |
| Dec 31, 2024 | 134.51 Mn |
| Sep 30, 2024 | 137.64 Mn |
| Jun 30, 2024 | 126.63 Mn |
| Mar 31, 2024 | 121.82 Mn |
| Dec 31, 2023 | 110.59 Mn |
| Sep 30, 2023 | 121.98 Mn |
| Jun 30, 2023 | 116.59 Mn |
| Mar 31, 2023 | 116.59 Mn |
| Dec 31, 2022 | 121.00 Mn |
| Sep 30, 2022 | 137.52 Mn |
| Jun 30, 2022 | 115.13 Mn |
| Mar 31, 2022 | 109.34 Mn |
| Dec 31, 2021 | 115.91 Mn |
API Access
Park National Revenue 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=revenue&ticker=PRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=PRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();