Buy (tactical/short-term): The stock is deeply oversold (RSI_6 ~19) and sitting near support (S1 ~7.12), which favors a near-term mean-reversion bounce.
Not a trend buy: The broader trend remains bearish (SMA_200 > SMA_20 > SMA_5), so this is best treated as a quick rebound trade rather than a long-term add.
Targets to watch: First upside level is the pivot ~7.78, then R1 ~8.45 if momentum continues; failure to hold ~7.12 increases downside risk toward ~6.71 (S2).
Catalyst calendar: Next earnings are 2026-02-25 (pre-market); with no fresh news this week, price action is likely to be technically driven until then.
Pattern-based forward view: Similar-pattern analysis implies ~80% chance of +4.42% next day, -1.8% next week, +7.11% next month—supporting a quick bounce thesis more than a steady uptrend.
Net income: $0.053M, -98.75% YoY (profit collapse despite revenue growth).
EPS: 0, -100% YoY.
Gross margin: 55.59%, -22.58% YoY (meaningful compression; growth is coming with reduced margin quality).
Interpretation: Growth is strong, but the quarter shows the business is currently prioritizing expansion/transition at the cost of profitability—supportive for a trade, less supportive for a conviction long without margin stabilization.
Growth
Profitability
Efficiency
Analyst Ratings and Price Target Trends
2025-11-28 (Canaccord): Reiterated Buy, $27 price target after Q3; called it a “landmark quarter” and framed the post-earnings weakness as a buying opportunity.
Recent trend: Only one recent datapoint provided; sentiment from that coverage is clearly bullish with a high target.
Wall Street pro view (pros/cons):
Pros: Strong revenue growth, positioning in AI data-collection/data pipeline demand, supportive analyst commentary.
Cons: Profitability and margins deteriorated sharply in the latest quarter, and the stock’s technical trend is still bearish—execution needs to translate growth into earnings.
Wall Street analysts forecast ALAR stock price to rise over the next 12 months. According to Wall Street analysts, the average 1-year price target for ALAR is 23.5 USD with a low forecast of 20 USD and a high forecast of 27 USD. However, analyst price targets are subjective and often lag stock prices, so investors should focus on the objective reasons behind analyst rating changes, which better reflect the company's fundamentals.
2 Analyst Rating
Wall Street analysts forecast ALAR stock price to rise over the next 12 months. According to Wall Street analysts, the average 1-year price target for ALAR is 23.5 USD with a low forecast of 20 USD and a high forecast of 27 USD. However, analyst price targets are subjective and often lag stock prices, so investors should focus on the objective reasons behind analyst rating changes, which better reflect the company's fundamentals.
2 Buy
0 Hold
0 Sell
Moderate Buy
Current: 6.410
Low
20
Averages
23.5
High
27
Current: 6.410
Low
20
Averages
23.5
High
27
Canaccord
Buy
maintain
$27
AI Analysis
2025-11-28
Reason
Canaccord
Price Target
$27
AI Analysis
2025-11-28
maintain
Buy
Reason
Canaccord reiterates a Buy rating on Alarum with a $27 price target following the Q3 report. The firm views the print as a "landmark quarter," saying Alarum's strategic pivot toward the artificial intelligence data collection is now yielding "record" sales growth and validates the company's new product portfolio. Canaccord sees a buying opportunity on the post-earnings selloff. Alarum is "sitting at a critical intersection within AI data pipelines with rapidly ramping customer demand," it contends.
Canaccord
Kingsley Crane
Buy
maintain
$22 -> $27
2025-08-29
Reason
Canaccord
Kingsley Crane
Price Target
$22 -> $27
2025-08-29
maintain
Buy
Reason
Canaccord analyst Kingsley Crane raised the firm's price target on Alarum to $27 from $22 and keeps a Buy rating on the shares. The firm noted Alarum reported Q2 results within the guided ranges as the company continues to invest in expanding its network capacity as well as hire key developer talent. Perhaps more important than the Q2 results was the Q3 guidance implying 78% yoy growth and overall constructive commentary on large AI-driven customer engagements.
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