Is RZB or RZC more undervalued in 2026?

CirclFi compares Reinsurance Group of America, I (RZB) and Reinsurance Group of America, I (RZC) using 13 institutional-grade valuation models. RZB has a Quality of Company score of 8.3/10 while RZC scores 8.1/10.

Which is a better buy — RZB or RZC?

Compare intrinsic values from 13 independent models against current market prices. CirclFi also calculates Value Trap scores. This is not financial advice — conduct your own analysis.

How do RZB and RZC valuations compare?

RZB at $25.30 and RZC at $25.37 are compared across Bayesian DCF, EPV, EROIC Spread, First Chicago, Markov DDM, and 8 additional models.

RZB vs RZC Valuation Comparison 2026 — Intrinsic Value Analysis

RZB

Life Insurance

Reinsurance Group of America, I

Quality

8.3

out of 10

Value Trap

SAFE

Price

$25.30

Last close

Models

4/13

Active

RZC

Life Insurance

Reinsurance Group of America, I

Quality

8.1

out of 10

Value Trap

SAFE

Price

$25.37

Last close

Models

2/13

Active

Model-by-Model Comparison

Model	Type	RZB Fair Value	RZB Upside	RZC Fair Value	RZC Upside
Markov DDM	Intrinsic	$59.47	+135.1%	$70.91	+179.5%
Sentiment SOTP	Hybrid	$•••.••	••.•%	$•••.••	••.•%
FTNN Topology	Relative	$105.58	+317.3%	$132.41	+421.9%
RCMH-DCF	Intrinsic	$126.70	+400.8%	—	—

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RZB vs RZC — Which Stock Is More Undervalued?

RZB scores higher with a 8.3/10 quality rating vs RZC's 8.1/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Reinsurance Group of America, I (RZB) and Reinsurance Group of America, I (RZC) across 13 institutional-grade valuation models reveals how each company's intrinsic value stacks up against its market price. CirclFi's engine processes SEC EDGAR 10-K and 10-Q filings, FRED macroeconomic data, and GDELT news sentiment to generate independent fair value estimates daily.

RZB currently trades at $25.30 with a QOC of 8.3/10, while RZC trades at $25.37 with a QOC of 8.1/10.

Both companies are analyzed with models spanning intrinsic (Bayesian DCF, EPV), scenario-based (First Chicago), regime-switching (Markov DDM, RCMH-DCF), machine learning (ML-RIV, FTNN Topology), and ensemble methods (CUCE).