ABTC vs ARBK

American Bitcoin Corp. vs Argo Blockchain plc — Valuation Comparison 2026

ABTC

Capital Markets
American Bitcoin Corp.
Quality
5.1
out of 10
Value Trap
39
LOW
Price
$1.05
Last close
Models
11/13
Active
VS

ARBK

Capital Markets
Argo Blockchain plc
Quality
2.2
out of 10
Value Trap
6
SAFE
Price
$3.69
Last close
Models
7/13
Active

Model-by-Model Comparison

ModelType ABTC Fair ValueABTC Upside ARBK Fair ValueARBK Upside
Bayesian DCF Intrinsic $0.24 -77.1% $0.73 -80.2%
Earnings Power Value Intrinsic $0.29 -75.8%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $3.76 +1.7%
PWERM Option-Based $•••.•• ••.•% $•••.•• ••.•%
Regime Cross-Sectional Relative $•••.•• ••.•% $•••.•• ••.•%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
FTNN Topology Relative $•••.•• ••.•% $•••.•• ••.•%
RCMH-DCF Intrinsic $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

Access all valuation models for ABTC vs ARBK — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

ABTC vs ARBK — Which Stock Is More Undervalued?

ABTC scores higher with a 5.1/10 quality rating vs ARBK's 2.2/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing American Bitcoin Corp. (ABTC) and Argo Blockchain plc (ARBK) 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.

ABTC currently trades at $1.05 with a QOC of 5.1/10, while ARBK trades at $3.69 with a QOC of 2.2/10.

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).