SPAR Group (SGRP) Fair Value & Analysis
Industrials · US · Market cap $22.7M
Fair value as of: Jun 24, 2026
Analysis
SPAR Group (SGRP) currently trades at $0.8000, while our model-based Fair Value estimate is $0.0800 — implying the stock looks roughly 90.0% overvalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: low).
About the company
SPAR Group, Inc., together with its subsidiaries, provides merchandising and brand marketing services in the Americas, the Asia-Pacific, Europe, the Middle East, and Africa. It offers merchandising and marketing services, such as resets and cut-ins; price and inventory audits; stock replenishment and rotation services; out of stock management; promotional event setup; and display management, as well as category management and set up services comprising category and product resets, planogram maintenance, display and shelf services, display setup, and point of purchase installation and management. The company also provides remodel and retail transformation consisting of store remodels, store department resets, fixture and banner installations, pop-up store services, and store closings; and assembly and installation services, including assembly of merchandise in stores, in-store services, office setup/down-sizing services, national in-home furniture assembly services, and assembly and …
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.