RCON vs RES

Recon Technology, Ltd. vs RPC, Inc. — Valuation Comparison 2026

RCON

Oil & Gas Field Services, NEC
Recon Technology, Ltd.
Quality
5.7
out of 10
Value Trap
32
LOW
Price
$0.59
Last close
Models
11/13
Active
VS

RES

Oil & Gas Field Services, NEC
RPC, Inc.
Quality
8.2
out of 10
Value Trap
6
SAFE
Price
$6.62
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType RCON Fair ValueRCON Upside RES Fair ValueRES Upside
Bayesian DCF Intrinsic $0.24 -59.3% $3.12 -52.9%
Earnings Power Value Intrinsic $2.01 +122.8% $4.66 -29.5%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $•••.•• ••.•% $•••.•• ••.•%
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 RCON vs RES — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

RCON vs RES — Which Stock Is More Undervalued?

RES scores higher with a 8.2/10 quality rating vs RCON's 5.7/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Recon Technology, Ltd. (RCON) and RPC, Inc. (RES) 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.

RCON currently trades at $0.59 with a QOC of 5.7/10, while RES trades at $6.62 with a QOC of 8.2/10.

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).