Rhinebeck Bancorp (RBKB) Price to Earnings (2019 - 2026)
Rhinebeck Bancorp's Price to Earnings came in at 13.35 for Q2 2026.
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Analysis
Rhinebeck Bancorp (RBKB) Price to Earnings (2019 - 2026) Analysis & Trends
For FY2025, Rhinebeck Bancorp's Price to Earnings was 9.54.
- Going back by year, Price to Earnings was 14.51 in FY2023 (+38.0%), 10.52 in FY2022 (+41.0%) and 7.46 in FY2021 (-35.2%).
- The five-year range for quarterly Price to Earnings is 7.46 (Q4 2021) to 17.93 (Q3 2025).
- The fastest year-over-year change in Price to Earnings over five years came in Q3 2023 (growth of 46.4%), and the weakest in Q4 2021 (a decline of 35.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - |
| 10 | Rhinebeck Bancorp | 147.03 Mn | 147.03 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.35 |
| Dec 31, 2025 | 9.54 |
| Sep 30, 2025 | 17.93 |
| Jun 30, 2024 | 14.63 |
| Mar 31, 2024 | 14.20 |
| Dec 31, 2023 | 14.51 |
| Sep 30, 2023 | 12.57 |
| Jun 30, 2023 | 10.39 |
| Mar 31, 2023 | 10.77 |
| Dec 31, 2022 | 10.52 |
| Sep 30, 2022 | 8.58 |
| Jun 30, 2022 | 7.67 |
| Mar 31, 2022 | 7.98 |
| Dec 31, 2021 | 7.46 |
| Sep 30, 2021 | 8.07 |
| Jun 30, 2021 | 9.31 |
| Mar 31, 2021 | 10.11 |
| Dec 31, 2020 | 11.52 |
| Sep 30, 2020 | 9.47 |
| Jun 30, 2020 | 8.37 |
API Access
Rhinebeck Bancorp Price to Earnings 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=price-to-earnings&ticker=RBKB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "RBKB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-earnings&ticker=RBKB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();