.rr-calculator-container {
max-width: 700px;
margin: 20px auto;
background: #f9f9f9;
padding: 30px;
border-radius: 8px;
box-shadow: 0 4px 15px rgba(0,0,0,0.1);
font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Helvetica, Arial, sans-serif;
}
.rr-calculator-title {
text-align: center;
color: #2c3e50;
margin-bottom: 25px;
font-size: 24px;
font-weight: 700;
}
.rr-input-group {
margin-bottom: 20px;
}
.rr-label {
display: block;
margin-bottom: 8px;
font-weight: 600;
color: #34495e;
}
.rr-input {
width: 100%;
padding: 12px;
border: 1px solid #ddd;
border-radius: 4px;
font-size: 16px;
box-sizing: border-box;
transition: border-color 0.3s;
}
.rr-input:focus {
border-color: #3498db;
outline: none;
}
.rr-btn {
width: 100%;
padding: 14px;
background-color: #2ecc71;
color: white;
border: none;
border-radius: 4px;
font-size: 18px;
font-weight: 600;
cursor: pointer;
transition: background-color 0.3s;
}
.rr-btn:hover {
background-color: #27ae60;
}
.rr-results {
margin-top: 30px;
background: #fff;
padding: 20px;
border-radius: 6px;
border-left: 5px solid #2ecc71;
display: none;
}
.rr-result-row {
display: flex;
justify-content: space-between;
padding: 10px 0;
border-bottom: 1px solid #eee;
}
.rr-result-row:last-child {
border-bottom: none;
}
.rr-result-label {
color: #7f8c8d;
font-weight: 500;
}
.rr-result-value {
font-weight: 700;
color: #2c3e50;
}
.rr-highlight {
color: #2ecc71;
font-size: 1.2em;
}
.rr-error {
color: #e74c3c;
text-align: center;
margin-top: 10px;
display: none;
}
/* Article Styling */
.rr-article {
max-width: 700px;
margin: 40px auto;
font-family: inherit;
line-height: 1.6;
color: #333;
}
.rr-article h2 {
color: #2c3e50;
border-bottom: 2px solid #ecf0f1;
padding-bottom: 10px;
margin-top: 30px;
}
.rr-article h3 {
color: #34495e;
margin-top: 25px;
}
.rr-article p {
margin-bottom: 15px;
}
.rr-article ul {
margin-bottom: 20px;
padding-left: 20px;
}
.rr-article li {
margin-bottom: 8px;
}
.formula-box {
background: #edf2f7;
padding: 15px;
border-radius: 4px;
font-family: monospace;
text-align: center;
margin: 20px 0;
font-weight: bold;
}
function calculateRecoveryRate() {
// Retrieve inputs by ID
var totalInput = document.getElementById('rr_total_amount');
var recoveredInput = document.getElementById('rr_recovered_amount');
var costsInput = document.getElementById('rr_costs');
var errorMsg = document.getElementById('rr_error_msg');
var resultsArea = document.getElementById('rr_results_area');
// Parse values
var totalAmount = parseFloat(totalInput.value);
var recoveredAmount = parseFloat(recoveredInput.value);
var costs = parseFloat(costsInput.value);
// Handle empty optional costs
if (isNaN(costs)) {
costs = 0;
}
// Validation
if (isNaN(totalAmount) || isNaN(recoveredAmount) || totalAmount total (e.g. profit/yield > 100%)
// However, in debt contexts, you generally cap recovery at 100% or track excess.
// We will display raw math for flexibility.
var lossRate = 100 – grossRate;
// Display Results
document.getElementById('rr_gross_rate').innerHTML = grossRate.toFixed(2) + '%';
document.getElementById('rr_net_rate').innerHTML = netRate.toFixed(2) + '%';
document.getElementById('rr_loss_amount').innerHTML = lossAmount.toFixed(2); // No currency symbol enforced, strictly numeric
document.getElementById('rr_loss_rate').innerHTML = lossRate.toFixed(2) + '%';
// Show result container
resultsArea.style.display = 'block';
}
How to Calculate Recovery Rate
The Recovery Rate is a crucial metric used across various industries, from finance and debt collection to chemical engineering and disaster recovery. In its most common financial context, it measures the extent to which principal and accrued interest on a defaulted debt can be recovered. Understanding this percentage allows businesses and analysts to assess credit risk and the efficiency of collection efforts.
In simple terms, the recovery rate tells you what portion of an asset or value has been salvaged after a loss event. It is the inverse of the Loss Given Default (LGD).
The Recovery Rate Formula
The standard formula for calculating the Gross Recovery Rate is straightforward:
Recovery Rate (%) = (Recovered Amount / Total Defaulted Amount) × 100
If you need to account for the expenses incurred during the recovery process (such as legal fees or agency commissions), you should calculate the Net Recovery Rate:
Net Recovery Rate (%) = ((Recovered Amount – Collection Costs) / Total Defaulted Amount) × 100
Step-by-Step Calculation Example
To better understand how to use the calculator above, consider the following scenario regarding a bad debt:
- Total Defaulted Debt: 50,000
- Amount Collected: 20,000
- Collection Fees: 2,000
1. Calculate Gross Recovery
Divide the collected amount by the total debt:
20,000 ÷ 50,000 = 0.40
Multiply by 100 to get the percentage: 40.00%
2. Calculate Net Recovery
Subtract costs from the collected amount first:
20,000 – 2,000 = 18,000
Then divide by the total debt:
18,000 ÷ 50,000 = 0.36
Net Recovery Rate: 36.00%
Why is Recovery Rate Important?
Credit Risk Modeling: Financial institutions use historical recovery rates to estimate future losses. A higher expected recovery rate reduces the capital reserves a bank needs to hold against potential defaults.
Collection Agency Performance: Businesses use this metric to evaluate the effectiveness of third-party collection agencies or internal accounts receivable teams. A declining recovery rate may indicate the need for stricter credit policies or more aggressive collection strategies.
Scientific Applications: In chemistry and biology, this same logic applies to "Percent Recovery," calculating how much pure substance is retrieved from a purification process compared to the starting material.
Interpreting Your Results
- High Rate (>80%): Indicates highly effective recovery processes or secured assets (collateralized debt).
- Moderate Rate (40-60%): Common for unsecured debts like credit cards or medical bills.
- Low Rate (<20%): Often seen in junior unsecured debt or when assets have significantly depreciated.