Bank Of Princeton (BPRN.US)

10-Year Study

BPRN.US · Financial Services · Common Stock

About Bank Of Princeton (BPRN.US)

Financial Services

Princeton Bancorp, Inc. operates as the bank holding company for The Bank of Princeton that provides various banking products and services....

Source: EODHD Financial Datasets
Fundamentals updated: Feb 27, 2026

Fundamental Snapshot

Bank Of Princeton (BPRN.US) operates in the Financial Services market. Detailed fundamentals are summarized below as reported in trailing financial disclosures.

Executive Summary: Bank Of Princeton has compounded at 5.8% annually over the last 10 years, with a maximum drawdown of 52.2% and an annualized volatility of 33.3%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+39.2%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+17.5%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+10.9%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+5.8%

History & Riski10-year historical performance analysis including CAGR, Max Drawdown, Sharpe & Sortino ratios, annual returns, and rolling volatility — all computed from daily market data.

10-Year Growth of $10,000

View full price history data
DateValue
2016-08-01$10,000
2016-09-01$9,700
2016-11-01$10,000
2017-01-01$10,600
2017-02-01$10,800
2017-03-01$10,833
2017-05-01$10,870
2017-06-01$11,000
2017-07-01$12,750
2017-08-01$10,567
2017-09-01$10,663
2017-10-01$11,167
2017-11-01$11,083
2017-12-01$11,447
2018-01-01$10,933
2018-02-01$10,843
2018-03-01$11,500
2018-04-01$11,073
2018-05-01$10,947
2018-06-01$11,083
2018-07-01$11,303
2018-08-01$10,967
2018-09-01$10,180
2018-10-01$9,417
2018-11-01$9,810
2018-12-01$9,310
2019-01-01$9,857
2019-02-01$10,865
2019-03-01$10,598
2019-04-01$10,053
2019-05-01$9,378
2019-06-01$10,030
2019-07-01$9,218
2019-08-01$8,937
2019-09-01$9,727
2019-10-01$9,626
2019-11-01$9,625
2019-12-01$10,576
2020-01-01$10,243
2020-02-01$9,186
2020-03-01$7,834
2020-04-01$7,076
2020-05-01$6,996
2020-06-01$6,803
2020-07-01$6,095
2020-08-01$6,634
2020-09-01$6,188
2020-10-01$6,699
2020-11-01$8,147
2020-12-01$8,003
2021-01-01$7,973
2021-02-01$9,022
2021-03-01$9,830
2021-04-01$10,252
2021-05-01$10,169
2021-06-01$9,906
2021-07-01$10,189
2021-08-01$10,601
2021-09-01$10,382
2021-10-01$10,525
2021-11-01$10,423
2021-12-01$10,256
2022-01-01$10,609
2022-02-01$10,501
2022-03-01$10,169
2022-04-01$10,582
2022-05-01$10,542
2022-06-01$9,760
2022-07-01$10,435
2022-08-01$10,230
2022-09-01$10,165
2022-10-01$11,366
2022-11-01$11,764
2022-12-01$11,464
2023-01-01$12,411
2023-02-01$12,762
2023-03-01$11,560
2023-04-01$10,448
2023-05-01$9,102
2023-06-01$10,072
2023-07-01$11,026
2023-08-01$10,899
2023-09-01$10,794
2023-10-01$11,171
2023-11-01$12,394
2023-12-01$13,496
2024-01-01$12,278
2024-02-01$11,683
2024-03-01$11,683
2024-04-01$11,064
2024-05-01$11,734
2024-06-01$12,689
2024-07-01$14,997
2024-08-01$14,395
2024-09-01$14,295
2024-10-01$13,576
2024-11-01$14,450
2024-12-01$13,420
2025-01-01$11,896
2025-02-01$12,897
2025-03-01$12,019
2025-04-01$11,992
2025-05-01$12,439
2025-06-01$12,133
2025-07-01$11,994
2025-08-01$13,705
2025-09-01$12,774
2025-10-01$12,469
2025-11-01$13,943
2025-12-01$14,065
2026-01-01$14,690
2026-02-01$13,902
2026-03-01$13,820
2026-04-01$14,496
2026-05-01$14,749
2026-06-01$15,531
2026-07-01$16,737
2026-08-01$17,290
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
52.2%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.18
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.31
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
23.9%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2021 · +28.1%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2020 · -24.3%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
70%

Annual Returns

View full annual returns data
YearReturn
201714.5%
2018-18.7%
201913.6%
2020-24.3%
202128.1%
202211.8%
202317.7%
2024-0.6%
20254.8%
202622.9%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20264.4-5.4-0.64.91.75.37.83.322.9%
2025-11.48.4-6.8-0.23.7-2.5-1.114.3-6.8-2.411.80.94.8%
2024-9.0-4.80.0-5.36.18.118.2-4.0-0.7-5.06.4-7.1-0.6%
20238.32.8-9.4-9.6-12.910.79.5-1.2-1.03.511.08.917.7%
20223.4-1.0-3.24.1-0.4-7.46.9-2.0-0.611.83.5-2.511.8%
2021-0.413.28.94.3-0.8-2.62.94.0-2.11.4-1.0-1.628.1%
2020-3.1-10.3-14.7-9.7-1.1-2.8-10.48.8-6.78.321.6-1.8-24.3%
20195.910.2-2.5-5.1-6.77.0-8.1-3.08.8-1.0-0.09.913.6%
2018-4.5-0.86.1-3.7-1.11.22.0-3.0-7.2-7.54.2-5.1-18.7%
20176.01.90.30.31.215.9-17.10.94.7-0.73.314.5%
2016-3.03.10.0%

Risk X-RayiA 19-factor macroeconomic risk decomposition showing exactly which market forces (equity beta, rates, inflation, credit, commodity, crypto) drive this asset's volatility. Powered by multivariate regression against daily factor returns.

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
33.3%
View full factor risk breakdown
FactorRisk Exposure
VTI.US1.9%
VEA.US-2.3%
VWO.US-0.1%
QQQ.US-0.8%
VTV.US0.4%
IJR.US21.5%
QUAL.US-1.8%
SHV.US28.2%
TLT.US-0.0%
LQD.US5.5%
HYG.US-0.5%
GLD.US-0.0%
USO.US-0.1%
VNQ.US4.3%
BTC-USD.CC0.1%
CPER.US-0.1%
VIX.INDX0.2%
UUP.US8.9%
TIP.US12.9%
Idiosyncratic21.8%

Bank Of Princeton Business Fundamentals

Reported valuation multiples, trailing margins, YoY growth, and balance-sheet liquidity.

Valuation Multiples

P/E Ratio (TTM)
12.80x
56th pct of 314 Financial Services peers · median 12.19x

Dividend & Income Analysisi10-Year historical income simulation on a $10,000 initial investment, cumulative dividend income generated, average yield on cost, and annual payout table.

Income Simulation

Based on $10,000 initial investment.

Total Income Generated
$430
Avg Yield on Cost
4.30%
Annual Income Simulation Table
Historical Realised Yields
YearAnnual PayoutYield on CostQuality
2026$429.74.30%Weak

Momentum & MacroiPrice momentum indicators: distance from 50/200-Day SMA, 52-Week High proximity, Golden Cross trend signal, RSI momentum gauge, Fibonacci retracement levels, and Beta (market sensitivity).

vs 50-Day SMAMoving Averages (SMA)A rolling average of an asset's price over a defined window — used to identify trends and momentum signals.Click for full definition →
+5.1%
Above/below 50-day moving average
vs 200-Day SMAMoving Averages (SMA)A rolling average of an asset's price over a defined window — used to identify trends and momentum signals.Click for full definition →
+16.6%
Above/below 200-day moving average
vs 52-Week High52-Week HighThe highest price an asset reached in the past 52 weeks — a key reference for momentum and valuation context.Click for full definition →
2.8% from high
Distance from 52-week high
BetaBetaA measure of an asset's sensitivity to broad market movements relative to a benchmark (e.g. S&P 500).Click for full definition →
0.50
Market sensitivity coefficient
Trend SignalGolden Cross & Death CrossTechnical chart patterns that occur when a short-term moving average crosses over a long-term moving average.Click for full definition →
✦ Golden Cross
Bullish — 50 SMA above 200 SMA
RSI (14-Day)Relative Strength Index (RSI)A momentum oscillator that measures the speed and change of price movements to identify overbought or oversold conditions.Click for full definition →
51
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+11.2%
50.0% retracement+16.3%
61.8% retracement+22.0%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

BPRN.US — 10-Year Return & Risk Profile

Bank Of Princeton (BPRN.US) has delivered modest annualized growth of 5.8% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $17,538, representing a total return of 75%. Over this period, BPRN.US generated positive annual returns in 7 out of 10 calendar years (70%).

The best single calendar year for BPRN.US was 2021, with a return of +28.1%. The worst year was 2020, when the asset declined 24.3%. This spread between best and worst year is a useful indicator of the range of outcomes an investor might have experienced in a given 12-month window.

The asset's Sharpe ratio of 0.18 is considered poor on a risk-adjusted basis. The Sharpe ratio measures return earned above the risk-free rate per unit of total volatility — a higher reading indicates more efficient return generation relative to the risk taken. Investors focused on risk-adjusted outcomes should weigh this figure alongside absolute CAGR when making allocation decisions.

BPRN.US — Drawdown, Volatility & Downside Risk

BPRN.US's annualized volatility of 23.9% is classified as elevated relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in BPRN.US have historically experienced larger day-to-day price swings than the broader market, which requires a higher tolerance for short-term portfolio fluctuations.

The asset's maximum peak-to-trough decline over the study period was 52.2% — a severe bear-market collapse. Drawdown magnitude is a critical consideration for investors who may need to liquidate positions during market stress, as a larger decline requires proportionally greater subsequent gains to recover to the prior peak. A 52% drawdown, for example, requires a 109% gain just to break even.

When evaluating BPRN.US for inclusion in a diversified US portfolio, it is important to note that historical volatility and drawdown metrics are backward-looking. They capture the risk environment of the past 10 years, which included the COVID-19 market crash (2020), the 2022 Federal Reserve rate hike cycle, and various geopolitical disruptions. Future risk may differ materially, particularly in response to structural changes in US monetary policy, sector regulation, or macroeconomic regime shifts.

BPRN.US — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 28.2% of BPRN.US's return variance to Short-Term Interest Rates. This means that when Short-Term Interest Rates rises or falls sharply, BPRN.US tends to move in the same direction with meaningful magnitude. Investors who already hold significant exposure to this factor — through other funds or direct equity positions — should be aware of this concentration when sizing their BPRN.US allocation.

The second-largest macro driver is US Small-Cap Equities, contributing 21.5% of variance. 21.8% of BPRN.US's risk is attributable to idiosyncratic, stock-specific factors that are uncorrelated with the broader macro drivers. A higher idiosyncratic share generally indicates that the fund's performance is more dependent on the security selection or holdings composition of the individual underlying assets, rather than broad market forces.

For US investors building a diversified multi-asset portfolio, understanding BPRN.US's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding BPRN.US alongside assets with low correlation to Short-Term Interest Rates — such as US Treasury bonds, commodities, or assets with significant developed-market ex-US exposure — can reduce the overall portfolio's sensitivity to any single macroeconomic theme.

Compare this AssetiRun a head-to-head backtest and risk analysis against similar assets.

Frequently Asked Questions & Methodology

Is Bank Of Princeton a high-risk investment?

Bank Of Princeton (BPRN.US) has an annualized volatility of 33.3% and experienced a maximum drawdown of 52.2% over the last 10 years. Its primary macro risk driver is SHV.US.

What is the 10-year return of BPRN.US?

Over the past 10 years, BPRN.US has generated a Compound Annual Growth Rate (CAGR) of 5.8%. A $10,000 investment would have grown to approximately $17,538. It has had a positive return in 70% of calendar years.

What is BPRN.US's Sharpe ratio?

BPRN.US has a Sharpe ratio of 0.18 and a Sortino ratio of 0.31 over the 10-year period. The Sharpe ratio measures risk-adjusted return — how much excess return is earned per unit of volatility. A reading below 1.0 suggests investors were not fully compensated on a risk-adjusted basis.

What is BPRN.US's dividend yield?

BPRN.US has an average trailing dividend yield of 3.66%. On a $10,000 initial investment, it generated approximately $430 in cumulative income over the study period. All return metrics on this page use total return (dividends reinvested).

Is BPRN.US above its 200-day moving average?

BPRN.US is currently above its 200-day moving average by 16.6%. The current trend signal is: Bullish — 50 SMA above 200 SMA. The 200-day SMA is a widely used long-term trend filter — assets trading above it tend to exhibit positive price momentum.

Data Methodology & Trust

The risk and return information on this page is pre-calculated mathematically using daily market data spanning a 10-year period. Fundamentals (such as P/E Ratio, Market Cap, and Dividend Yield) represent trailing averages and may not immediately reflect real-time live market fluctuations. Advanced scoring models like the Piotroski F-Score and Altman Z-Score are proxies applied to publicly available trailing-twelve-month financial statements and may not account for recent off-balance-sheet events, qualitative company shifts, or sector-specific capital structures. Macroeconomic factor exposures are estimated via multivariate regression against standard market indices. This data is provided for quantitative insight and backtesting research, and should not be misconstrued as tailored financial advice.

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