Measuring P2P Financial Health: Criteria Investors Should Consider Beyond Returns
The rate of return is often the main attraction in P2P lending investments. However, return is merely the end result of a business structure and risk management process. Return does not automatically reflect portfolio quality, liquidity resilience, or the integrity of a platform's reporting.
For investors who want to understand a platform's financial health more comprehensively, there are several structural indicators to consider beyond the offered return rates. What are some examples?
1. Portfolio Quality: Beyond Just TKB90
In Indonesia, the most frequently cited indicator is TKB90 (Tingkat Keberhasilan Bayar 90 Hari or 90-Day On-Time Repayment Rate), which is defined by the OJK (Financial Services Authority) as the success rate of settling loan obligations within 90 days of the due date.
Although important, TKB90 does not fully capture portfolio risk. Investors need to pay attention to:
- Distribution of arrears by bucket (1–30 days, 31–60 days, etc.)
- Performance by vintage (loan cohorts per issuance period)
- Concentration in specific sectors or borrowers
- Recovery rate on non-performing loans
A platform's financial health is heavily influenced by how risk is spread and managed, not just by the percentage of repayments completed within 90 days.
2. Underwriting Process and Data Verification
High returns often correlate with a more aggressive risk profile. Therefore, it is important to understand how the platform conducts its borrower selection process.
Some relevant key questions include:
- Is income data verified or merely based on declaration?
- Is credit bureau data used?
- Is there a documented credit scoring model?
- How often is the risk model re-evaluated?
The OJK, through LPBBTI regulations (such as POJK No. 10/2022 and its latest updates), mandates the implementation of prudential principles and adequate risk management.
A healthy platform does not merely disburse loans, but has a systematic verification and risk analysis process.
3. Liquidity Structure and Reliance on New Funding Flows
Investors need to understand whether there is a maturity mismatch between funding and loans. However, this aspect is often overlooked.
Platforms that are overly dependent on new fund inflows to maintain operational continuity face liquidity pressure risk if there is a decline in funding interest.
Read Also: P2P Fraud Cases: Key Lessons and the Role of AI for Early Detection in the Fintech Industry
Global literature regarding the failure of several P2P platforms in various countries shows that liquidity structure and governance are crucial factors in business sustainability.
Liquidity is not just a banking issue; it is also relevant in marketplace lending models.
4. Transparency and Reporting Integrity
Financial health also depends on the quality of data presented to investors. Aspects to consider include:
- Consistency between transaction data and aggregate reports
- Frequency of data updates
- Clarity of methodology for calculating indicators (e.g., TKB90, NPL, etc.)
- Availability of historical data for trend analysis
Data discrepancies or changes in methodology without adequate explanation can make objective risk evaluation more difficult.
To gain a deeper understanding of how data-based risk analysis is conducted, it is important to be able to recognize patterns of suspicious transactions.
5. Governance and Regulatory Compliance
Beyond operational aspects, governance also serves as an important foundation. Investors need to ensure that the platform:
- Is registered and supervised by OJK
- Has an internal control structure
- Complies with periodic reporting obligations
- Provides mechanisms for conflict of interest mitigation
Regulation is not merely an administrative formality, but rather a framework for maintaining operational discipline and transparency.
From Return Figures to Structural Evaluation
Return is a reflection of risk profile and business strategy. However, the financial health of P2P lending is determined by:
- Underwriting quality
- Liquidity resilience
- Data transparency
- Governance discipline
A deeper evaluation requires analysis based on verifiable transaction and reporting data. In this context, the use of analytical technology becomes relevant.
Systems capable of performing document parsing, verification, and systematic data analysis can help both investors and institutions conduct risk assessments in a more measurable and objective manner.
Such technology does not replace professional judgment, but accelerates the validation process and improves accuracy in reading a platform's fundamental condition.
Related Articles
Learn how window dressing distorts decisions, weakens governance, and erodes business trust over time.
Understand when OCR-based document parsing is required, how it technically works, and why it improves data accuracy in financial operations.
In an increasingly dynamic digital era, financial transaction management demands speed, accuracy, and efficiency. One innovation that plays a significant role in supporting these needs is bank statement parsing technology. This technology has become a practical solution for automating the recording and monitoring of banking activities, especially for businesses handling a large volume of daily transactions.
