Best Insurance Reinsurance stocks by quality
Of the 21 stocks listed here, only one reaches the maximum quality score. The median valuation of the group comes out at 7.9 times its free cash flow. Among those with the maximum score, the cheapest is Renaissancere Holdings (RNR), at 4.1 times its free cash flow.
The Insurance Reinsurance stocks with the highest scores from our fundamental analysis, ranked from best to worst quality, with their valuation (P/FCF). Click a stock for its full analysis.
| # | Stock | Quality score | P/FCF |
|---|---|---|---|
| 1 | Renaissancere Holdings Ltd (RNR) | 10/10 | 4.1x |
| 2 | Reinsurance Group of America Inc (RGA) | 9/10 | 6.2x |
| 3 | Hamilton Insurance Group Ltd (HG) | 9/10 | 4.1x |
| 4 | Greenlight Capital Re Ltd (GLRE) | 9/10 | 2.2x |
| 5 | TQR Public Company Limited (TQR.BK) | 8/10 | 13.0x |
| 6 | Siriuspoint Ltd (SPNT) | 8/10 | 9.1x |
| 7 | SCOR SE (SCR.PA) | 8/10 | 5.6x |
| 8 | Saudi Reinsurance Company (8200.SR) | 8/10 | 17.5x |
| 9 | Korean Reinsurance Company (003690.KS) | 8/10 | 1.1x |
| 10 | Münchener Rückversicherungs-Gesellschaft Aktiengesellschaft in München (MUV2.DE) | 7/10 | 14.4x |
| 11 | Hannover Rück SE (HNR1.DE) | 7/10 | 5.6x |
| 12 | China Reinsurance (Group) Corporation (1508.HK) | 7/10 | 2.4x |
| 13 | PT Maskapai Reasuransi Indonesia Tbk (MREI.JK) | 6/10 | 7.1x |
| 14 | Swiss Re AG (SREN.SW) | 5/10 | 13.3x |
| 15 | Kestrel Group Ltd (KG) | 5/10 | n.d. |
| 16 | Everest Group Ltd (EG) | 5/10 | 7.9x |
| 17 | COFACE SA (COFA.PA) | 5/10 | 11.3x |
| 18 | Oxbridge Re Holdings Ltd (OXBR) | 4/10 | n.d. |
| 19 | General Insurance Corporation of India (GICRE.NS) | 4/10 | 135.8x |
| 20 | Central Reinsurance Corporation (2851.TW) | 4/10 | 16.6x |
| 21 | Thai Reinsurance Public Company Limited (THRE.BK) | 3/9 | 16.8x |
Our quality score judges how solid a business is across 10 objective financial criteria (profitability, free cash flow growth, share buybacks, debt, return on capital). The P/FCF (price to free cash flow) shows whether the stock is cheap or expensive. Full method: our methodology.
To place these multiples against sector averages, the reference public sector data is Aswath Damodaran's (NYU Stern).