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NASDAQ: SANG
Sangoma Technologies Corp Stock Forecast, Predictions & Price Target

Analyst price target for SANG

Based on 2 analysts offering 12 month price targets for Sangoma Technologies Corp.
Min Forecast
$3.25-1.52%
Avg Forecast
$5.63+70.45%
Max Forecast
$8.00+142.42%

Should I buy or sell SANG stock?

Based on 2 analysts offering ratings for Sangoma Technologies Corp.
Buy
Strong Buy
0 analysts 0%
Buy
1 analysts 50%
Hold
1 analysts 50%
Sell
0 analysts 0%
Strong Sell
0 analysts 0%

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SANG stock forecasts by analyst

Analyst / FirmRatingActionPrice TargetUpside/DownsideDateAnalyst Color
lockedlocked$00.00+00.00%2023-11-09
lockedlocked$00.00+00.00%2023-09-28

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SANG vs Software Infrastructure Stocks

TickerPricePrice TargetUp/downsideConsensus
SANG$3.30$5.63+70.45%Buy
MLGO$2.26N/AN/A
XBP$16.07N/AN/A
EGIO$0.41$1.13+177.78%Buy
PAYS$2.43$5.50+126.34%Buy

Sangoma Technologies Stock Forecast FAQ

Is Sangoma Technologies Stock a good buy in 2023, according to Wall Street analysts?

The consensus among 2 Wall Street analysts covering (NASDAQ: SANG) stock is to Buy SANG stock.

Out of 2 analysts, 0 (0%) are recommending SANG as a Strong Buy, 1 (50%) are recommending SANG as a Buy, 1 (50%) are recommending SANG as a Hold, 0 (0%) are recommending SANG as a Sell, and 0 (0%) are recommending SANG as a Strong Sell.

If you're new to stock investing, here's how to buy Sangoma Technologies stock.

What is SANG's Price Target?

According to 2 Wall Street analysts that have issued a 1 year SANG price target, the average SANG price target is $5.63, with the highest SANG stock price forecast at $8.00 and the lowest SANG stock price forecast at $3.25.

On average, Wall Street analysts predict that Sangoma Technologies's share price could reach $5.63 by Nov 9, 2024. The average Sangoma Technologies stock price prediction forecasts a potential upside of 70.45% from the current SANG share price of $3.30.
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Information is provided 'as-is' and solely for informational purposes and is not advice. WallStreetZen does not bear any responsibility for any losses or damage that may occur as a result of reliance on this data.