$10.670
-0.128 (-1.20%)收盘时
价格预测
在 App 中打开以解锁更长周期的预测。
BARK 相似图表分析预测
Alphio's BARK stock price prediction model matches the current Bark Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $10.69 (+0.18%). The 1-week path is $10.99 (+2.96%). Longer windows use the same pattern set plus seasonality; the 1-month and multi-year forecasts sit behind unlock because they include precise min / avg / max bands.
该买入 Bark Inc 股票吗？
Bark Inc is a good buy right now due to its recent positive earnings report showing an EPS of 0.08, indicating a return to profitability, and a gross margin improvement to 72.74% in Q1 2027. The stock has also seen a 20.53% increase over the last 20 days, reflecting positive momentum. However, the main risk is its high debt-to-equity ratio of 49.50% in Q2 2026, which could impact financial stability.
BARK 股价于 Wednesday 收于 $10.67，此前下跌 -1.20%
Bark Inc (BARK) last closed at $10.67, losing -1.20%. These facts feed the 1-day and 1-week BARK price prediction above.
预测驱动因素
Bark Inc（BARK）的预测驱动因素综合了相似的图表形态、季节性与移动平均线。
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bullish
SMA 200
Bearish
相似图表形态
近期走势与 BARK 最接近的股票，按相似度排序。
BARK 季节性分析
Historically the probability of a positive September return for BARK is 45.45%. January offers the highest probability of a positive month at 81.97%, while June is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
BARK 十年价格预测
| 月份 | 最低价 | 平均价 | 最高价 | 潜在回报率 |
|---|---|---|---|---|
| Sep 2026 | $1.38 | $1.48 | $1.52 | -86.09% |
| Oct 2026 | $0.79 | $1.10 | $1.15 | -89.66% |
| Nov 2026 | $1.20 | $1.48 | $1.66 | -86.09% |
| Dec 2026 | $1.19 | $1.27 | $1.27 | -88.09% |
2026 年，Bark Inc（BARK）预计区间为 $0.79 至 $1.66。
Bark Inc 2026 年月度预测
2026 年 Sep，Bark Inc 预计均价 $1.48，最低 $1.38，最高 $1.52。
2026 年 Oct，Bark Inc 预计均价 $1.10，最低 $0.79，最高 $1.15。
2026 年 Nov，Bark Inc 预计均价 $1.48，最低 $1.20，最高 $1.66。
2026 年 Dec，Bark Inc 预计均价 $1.27，最低 $1.19，最高 $1.27。
本页仅供研究参考，不构成投资建议。模型可能出错。过往表现不代表未来结果。