Park National (PRK) EBIT (2009 - 2026)
Park National (PRK) recorded EBIT of $106.33 million in Q2 2026, up 22.4% from $86.85 million a year earlier and up 31.8% from the prior quarter.
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Analysis
Park National (PRK) EBIT (2009 - 2026) Analysis & Trends
On a TTM basis, Park National's EBIT came in at $349.68 million as of Jun 30, 2026, up 8.4% year-over-year; for FY2025, it was $328.55 million, up 6.1% from FY2024.
- Annual EBIT has increased for five straight years, with a five-year compound annual growth rate of 12.2% (FY2020 to FY2025).
- Across earlier years, EBIT came in at $309.67 million in FY2024 (+22.8%), $252.16 million in FY2023 (+19.1%), $211.65 million in FY2022 (+3.6%) and $204.2 million in FY2021 (+10.5%).
- The Q2 2026 figure is the highest quarterly EBIT in data going back to Q2 2009.
- On a year-over-year basis, EBIT rose in seven of the last eight quarters, with growth averaging 11.0%.
- Peak year-over-year performance for EBIT in the last five years was growth of 31.9% in Q2 2023, against a decline of 20.1% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $80.67 million (Q1 2026), $76.64 million (Q4 2025) and $86.03 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 46.15 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 40.42 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 26.78 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 8.97 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 19.42 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 18.35 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 26.03 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 18.49 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 5.11 Bn |
| 10 | Park National | 3.24 Bn | -3.51 Bn | - | 103.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 103.91 Mn |
| Jun 30, 2026 | 106.33 Mn |
| Mar 31, 2026 | 80.67 Mn |
| Dec 31, 2025 | 76.64 Mn |
| Sep 30, 2025 | 86.03 Mn |
| Jun 30, 2025 | 86.85 Mn |
| Mar 31, 2025 | 79.03 Mn |
| Dec 31, 2024 | 77.50 Mn |
| Sep 30, 2024 | 79.34 Mn |
| Jun 30, 2024 | 79.40 Mn |
| Mar 31, 2024 | 73.43 Mn |
| Dec 31, 2023 | 59.87 Mn |
| Sep 30, 2023 | 72.37 Mn |
| Jun 30, 2023 | 61.31 Mn |
| Mar 31, 2023 | 58.60 Mn |
| Dec 31, 2022 | 54.57 Mn |
| Sep 30, 2022 | 60.55 Mn |
| Jun 30, 2022 | 46.50 Mn |
| Mar 31, 2022 | 50.03 Mn |
| Dec 31, 2021 | 48.70 Mn |
API Access
Park National EBIT 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=ebit&ticker=PRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=PRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();