Shanghai Fuller Information Technology Co., Ltd.

Application link: xyzp.haitou.cc/article/... About Shanghai Fuller Information Technology Co., Ltd. • Clients span 20 countries worldwide • Over 2,200 logistics centers • Managed warehouse area exceeding 20 million square meters • Peak daily order processing volume per warehouse: over 1.64 million orders Shanghai Fuller Information Technology Co., Ltd. is a leading Chinese provider of logistics software. Fuller’s logistics management software is widely deployed across industries including fashion, retail, manufacturing, pharmaceuticals, e-commerce, fast-moving consumer goods (FMCG), maternity & baby products, cold-chain logistics, and third-party logistics (3PL). It has become the preferred solution for industry-leading enterprises. Fuller serves clients in 20 countries globally; its software powers over 2,200 logistics centers, managing more than 20 million square meters of warehouse space, with peak daily order processing capacity per warehouse exceeding 1.64 million orders. Fuller boasts an extensive portfolio of high-quality clients across diverse sectors, including SF Express, China Post Express & Logistics, Bestseller (Lingzhi), Semir, Samsonite, Shijie (Meiyijia), FamilyMart, Pan Asia Automotive, Chery Automobile, Bull Group, Yangtze River Pharmaceutical, Qilu Pharmaceutical, TianShiLi, PianO Pharmaceutical, Procter & Gamble, Mengniu Dairy, Bright Dairy, COFCO Coca-Cola, Sinochem Agri, Zhengming Logistics, DHL, and Kintetsu World Express (KWE). Fuller delivers a comprehensive SCE (Supply Chain Execution) management solution, comprising: • WMS (Warehouse Management System): focused on enhancing granular warehouse management, operational efficiency, and inventory accuracy; • TMS (Transportation Management System): emphasizing transport process visibility, route optimization, and collaborative performance improvement; • OCP (Order Collaboration Platform): order-driven, enabling end-to-end order tracking and multi-system coordination to boost overall supply chain efficiency; • DATAHUB: a data exchange platform facilitating seamless integration and interoperability between internal and external enterprise systems. Building upon its mature software suite and deep industry expertise, Fuller has developed tailored solutions for over a dozen verticals—including e-commerce, apparel, pharmaceuticals, retail, FMCG, cold-chain logistics, high-tech, manufacturing, and 3PL—addressing sector-specific supply chain management needs and helping clients tackle challenges such as performance enhancement, cross-functional collaboration, lean operations, and massive-order processing. In August 2020, Fuller was once again honored with the “LT Logistics Technology Award – Company of the Year”, widely regarded as the “Oscars of China’s logistics industry”. In March 2018, Fuller was named among the “Top 25 Asia-Pacific Logistics Technology Solution Providers 2018” by APAC CIO Outlook, recognized for delivering innovative, integrated smart logistics solutions and possessing an international outlook. In December 2017, Fuller secured a strategic investment from Honeywell—a Fortune 100 diversified, high-tech, interconnected industrial corporation (NYSE: HON)—and jointly established an overseas joint venture to serve global customers. From 2015 to 2017, Fuller’s FLUX platform won the “Company of the Year” award at the LT Logistics Technology Awards for three consecutive years—the award often dubbed the “Oscars of China’s logistics industry”; Fuller’s CEO, Zunli Shi, received the “Person of the Year” award twice during this period. From 2014 to 2020, Fuller ranked first in the “China’s Most Recognized Logistics Brands” survey—organized by China Logistics Brand Network and other institutions and based on real-user voting—for seven consecutive years, and for six consecutive years specifically within the logistics software category.

What are common stock valuation methods?

Economic booms or recessions influence stock prices through their effects on the risk-free rate, risk premium, and corporate earnings. It is widely accepted that stock prices exhibit a negative correlation with both the risk-free rate and the risk premium, and a positive correlation with earnings growth. In this section, we convert macroeconomic forecasts into corporate cash flow projections and integrate these projections with an appropriate discounted cash flow (DCF) model to estimate the intrinsic value of the stock market from a theoretical price-to-earnings (P/E) perspective. 1. Stock Market Valuation Investors commonly use the market P/E ratio to assess the prospective returns of equities. Fuller and Hsieh developed a valuation model known as the H-model. In this model, the dividend growth rate over a finite trading horizon is assumed to decline linearly until it stabilizes at a perpetuity or terminal-stage rate. The model incorporates: (i) the dominant dividend growth rate in the terminal stage (gₛ); (ii) the number of years (N) over which the dividend growth rate declines linearly; and (iii) the long-term, stable dividend growth rate expected at the onset of the perpetuity phase—or at the end of year N (gₗ). Assuming the initial annual dividend at time zero is D₀, and the discount rate for the perpetuity is r, the estimated intrinsic value under the H-model (V₀) is expressed as follows. The H-model was originally designed as a convenient framework for modeling scenarios where an initially high dividend growth rate gradually transitions to a lower, sustainable long-term rate. For valuing mature, developed equity markets—where no supernormal growth exists—the Gordon Growth Model is more commonly applied than the H-model. 2. Forecasting Methods for Stock Returns There are two primary approaches: top-down and bottom-up. In top-down forecasting, macroeconomic forecasts are used to predict returns for broad-market equity indices. These forecasts can then be refined down to specific market sectors and industry clusters. Key steps include: Market Analysis: Evaluate valuations across different equity markets to identify those offering excess expected returns. • Compare relative valuation metrics of individual equity markets against historical averages to identify relatively undervalued or overvalued markets. • Examine trends in relative valuation metrics across markets to gauge momentum. • Compare the expected returns of equity markets anticipated to deliver excess returns against those of other asset classes—such as bonds, real estate, and commodities. Industry Analysis: Assess domestic and global economic cycles to identify industries expected to outperform within the strongest-performing equity markets. • Compare relative growth rates and expected profit margins across industries. • Identify industries likely to benefit positively from trends in interest rates, exchange rates, and inflation. Company Analysis: Within the strongest-performing industries of the strongest-performing equity markets, select the highest-performing individual stocks. Bottom-up forecasting begins with micro-level fundamental analysis of individual companies. Analysts use such information to forecast the return on each stock. Specific steps include: Company Analysis: Identify the fundamental reasons why certain stocks may outperform the broader market—without reference to prevailing macroeconomic conditions. • Determine why a company’s product, technology, or service is expected to succeed. • Evaluate the company’s management quality, track record, business model, and growth prospects. • Calculate the expected return for each stock using a discounted cash flow model. Industry Analysis: Aggregate the expected returns of stocks within an industry to identify the best-performing sectors.

H.B. Fuller Director Thomas Handley Buys $98,820 in Stock

Sep 30, 2026

H.B. Fuller director Thomas Handley purchased $98,820 worth of shares while the stock traded near its 52-week low. Despite better-than-expected adjusted earnings, revenue misses led Baird to lower its price target.

Investing.com

2026-04-08

H.B. Fuller CEO Purchases $295,103.60 in Stock

2026-04-10

H.B. Fuller President Acquires Additional 14% Stake

2026-04-12

H.B. Fuller Receives Moderate Buy Consensus from Analysts

2026-04-12

Does H.B. Fuller (FUL) CEO Share Buying Clarify or Complicate Its Margin-Focused Investment Narrative?

2026-04-14

H.B. Fuller VP Receives Phantom Units and Discloses Option, RSU Holdings