Park National (PRK) Prepaid Assets (2014 - 2026)
Park National (PRK) recorded Prepaid Assets of $205.42 million in Q2 2026, up 5.9% from $194 million a year earlier and up 1.7% from the prior quarter.
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Analysis
Park National (PRK) Prepaid Assets (2014 - 2026) Analysis & Trends
At the end of FY2025, Park National reported Prepaid Assets of $197.81 million, up 4.0% from FY2024.
- Annual Prepaid Assets has increased for seven straight years, with a five-year compound annual growth rate of 13.8% (FY2020 to FY2025).
- Across earlier years, Prepaid Assets came in at $190.12 million in FY2024 (+14.6%), $165.88 million in FY2023 (+8.0%), $153.58 million in FY2022 (+6.6%) and $144.12 million in FY2021 (+39.2%).
- The Q2 2026 figure is the highest quarterly Prepaid Assets in data going back to Q4 2014.
- On a year-over-year basis, Prepaid Assets has increased for 11 consecutive quarters, with growth averaging 10.3% over the last eight quarters.
- Peak year-over-year performance for Prepaid Assets in the last five years was growth of 39.2% in Q4 2021, against a decline of 0.1% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $202.03 million (Q1 2026), $197.81 million (Q4 2025) and $196.18 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | Park National | 3.24 Bn | -3.51 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 207.65 Mn |
| Jun 30, 2026 | 205.42 Mn |
| Mar 31, 2026 | 202.03 Mn |
| Dec 31, 2025 | 197.81 Mn |
| Sep 30, 2025 | 196.18 Mn |
| Jun 30, 2025 | 194.00 Mn |
| Mar 31, 2025 | 192.45 Mn |
| Dec 31, 2024 | 190.12 Mn |
| Sep 30, 2024 | 194.73 Mn |
| Jun 30, 2024 | 169.93 Mn |
| Mar 31, 2024 | 167.49 Mn |
| Dec 31, 2023 | 165.88 Mn |
| Sep 30, 2023 | 158.12 Mn |
| Jun 30, 2023 | 158.48 Mn |
| Mar 31, 2023 | 157.43 Mn |
| Dec 31, 2022 | 153.58 Mn |
| Sep 30, 2022 | 158.30 Mn |
| Jun 30, 2022 | 152.57 Mn |
| Mar 31, 2022 | 147.49 Mn |
| Dec 31, 2021 | 144.12 Mn |
API Access
Park National Prepaid Assets 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=prepaid-assets&ticker=PRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=PRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();