Northland Capmk Has Optimistic Outlook of GRRR Q3 Earnings

Key Points

• Northland Capital Markets has raised its Q3 2025 earnings per share estimate for Gorilla Technology Group to $0.26, slightly up from the previous estimate of $0.25.
• Gorilla Technology Group reported a loss of ($0.20) EPS for Q2, which missed analysts' consensus of $0.13, despite revenue meeting expectations at $21.50 million.
• The stock currently holds a consensus rating of "Moderate Buy" with an average target price of $18.00, after Zacks Research downgraded it from "strong-buy" to "hold".

Gorilla Technology Group Inc. (NASDAQ:GRRR - Free Report) - Stock analysts at Northland Capmk raised their Q3 2025 earnings per share estimates for Gorilla Technology Group in a report issued on Thursday, September 25th. Northland Capmk analyst M. Latimore now expects that the company will post earnings of $0.26 per share for the quarter, up from their prior estimate of $0.25. The consensus estimate for Gorilla Technology Group's current full-year earnings is $0.33 per share. Northland Capmk also issued estimates for Gorilla Technology Group's Q4 2025 earnings at $0.41 EPS, Q1 2026 earnings at $0.19 EPS, Q4 2026 earnings at $0.45 EPS and FY2026 earnings at $1.20 EPS.

Gorilla Technology Group (NASDAQ:GRRR - Get Free Report) last posted its earnings results on Thursday, August 14th. The company reported ($0.20) earnings per share (EPS) for the quarter, missing analysts' consensus estimates of $0.13 by ($0.33). The business had revenue of $21.50 million during the quarter, compared to analysts' expectations of $21.50 million.

Separately, Zacks Research cut Gorilla Technology Group from a "strong-buy" rating to a "hold" rating in a research note on Monday, August 18th. One equities research analyst has rated the stock with a Buy rating and one has assigned a Hold rating to the stock. Based on data from MarketBeat, Gorilla Technology Group presently has a consensus rating of "Moderate Buy" and an average target price of $18.00.

Gorilla Technology Group Stock Up 6.0%

NASDAQ:GRRR opened at $19.90 on Monday. Gorilla Technology Group has a 1 year low of $3.60 and a 1 year high of $44.15. The company has a debt-to-equity ratio of 0.05, a current ratio of 2.16 and a quick ratio of 2.48. The stock has a 50-day moving average price of $17.68 and a two-hundred day moving average price of $19.23.

Institutional Trading of Gorilla Technology Group

A number of institutional investors have recently modified their holdings of GRRR. Cetera Investment Advisers bought a new stake in shares of Gorilla Technology Group in the fourth quarter valued at about $258,000. SG Americas Securities LLC bought a new stake in shares of Gorilla Technology Group in the first quarter valued at about $1,663,000. Oppenheimer & Co. Inc. bought a new stake in shares of Gorilla Technology Group in the first quarter valued at about $1,086,000. Creative Financial Designs Inc. ADV lifted its holdings in shares of Gorilla Technology Group by 69.2% in the first quarter. Creative Financial Designs Inc. ADV now owns 12,690 shares of the company's stock valued at $376,000 after purchasing an additional 5,190 shares in the last quarter. Finally, SBI Securities Co. Ltd. raised its holdings in Gorilla Technology Group by 54.4% during the first quarter. SBI Securities Co. Ltd. now owns 118,765 shares of the company's stock worth $3,515,000 after acquiring an additional 41,828 shares in the last quarter. 1.33% of the stock is currently owned by institutional investors.

Gorilla Technology Group Company Profile

Gorilla Technology Group Inc provides video intelligence, Internet of Things (IoT) security, and edge content management hardware, software, and services in the Asia Pacific region. The company operates through three segments: Video IoT, Security Convergence, and Other segments. It offers intelligent video analytics AI models for various verticals, such as behavioral analytics, people/face recognition, vehicle analysis, object recognition, and business intelligence that can scan video for patterns and distinguish specific items using AI algorithms and metadata.

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