Radian (RDN) Change in Receivables (2023 - 2025)
Radian's Change in Receivables was -$8.57 million in Q4 2025, compared with -$10.98 million a year earlier.
Analysis
Radian (RDN) Change in Receivables (2023 - 2025) Analysis & Trends
For FY2025, Change in Receivables at Radian came in at -$793,000.
- In earlier years, Change in Receivables was $1.77 million in FY2024 (-84.1%), $11.18 million in FY2023, -$4.21 million in FY2022 and $2.72 million in FY2021 (-90.7%).
- Quarterly Change in Receivables has moved between -$13.71 million (Q4 2023) and $7.42 million (Q2 2024) over five years.
- Per Business Quant data, RDN's Change in Receivables in the three quarters before Q4 2025 was $6.06 million (Q3 2025), $2.71 million (Q2 2025) and -$995,000 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 2.23 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 1.98 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | -508.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 581.00 Mn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 961.00 Mn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | - |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | - |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 275.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 80.00 Mn |
| 10 | Radian | 4.09 Bn | 407.28 Mn | 380.01 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -8.57 Mn |
| Sep 30, 2025 | 6.06 Mn |
| Jun 30, 2025 | 2.71 Mn |
| Mar 31, 2025 | -995,000.00 |
| Dec 31, 2024 | -10.98 Mn |
| Sep 30, 2024 | -1.09 Mn |
| Jun 30, 2024 | 7.42 Mn |
| Mar 31, 2024 | 6.43 Mn |
| Dec 31, 2023 | -13.71 Mn |
| Sep 30, 2023 | 6.76 Mn |
API Access
Radian Change in Receivables 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=change-in-receivables&ticker=RDN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "ticker": "RDN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-receivables&ticker=RDN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();