
Interactive Strength Inc.
Interactive Strength Inc.(TRNR)股价预测与分析师目标价
华尔街共识、12 个月目标价、模型推演与 EPS/营收预期 — 来自分析师数据与历史行情。
trnr · 股价预测 · 0 位分析师(近3月)· FMP · 更新于 2026年6月8日
分析师评级与共识
基于过去 3 个月内 0 位华尔街分析师
N/A
0 位分析师
共识
评级分布
12 个月目标价
High
$22.50
Consensus
$22.50
+3025.0% upside
Low
$22.50
Median: $22.5 · Last Close: $0.72
12 个月目标价预测
历史收盘价 + 分析师 12 个月目标价预测区间
短期股价预测
长期股价预测
基于技术分析的股价预测
14 项技术面信号(SMA×6 + EMA×6 + RSI + MACD)· EEAT 方法论透明
Market Sentiment
BEARISH
Based on 14 technical indicators
Refreshes daily from EOD close
Moving Averages · TRNR · Jun 8, 2026
最新分析师评级与调整
| Date | Brokerage | Action | Rating |
|---|
Wall Street analysts have recently issued updated ratings on Interactive Strength Inc. (TRNR) stock. Of the recent 0 rating actions, 0 were upgrades and 0 were downgrades. 0 analysts currently cover TRNR.
分析师推荐趋势
TRNR analyst recommendation trends show stable buy-side sentiment over the past 6 months. Buy rating actions changed from 0 to 0 per month.
财务预测:EPS 与营收一致预期
Revenue This Year
$1M
↓ 90.2% YoY
Revenue Next Year
$16M
↑ 1227.1% YoY
EPS This Year
$-127.34
EPS Next Year
$-56000.00
↑ 43877.9% YoY
EPS ForecastReported vs Estimated
Analysts forecast TRNR EPS of $-127.34 for the current fiscal year, based on estimates from 1 analysts. The TRNR revenue forecast is $1M for the current year. These are analyst consensus estimates via FMP / S&P Global.
关于预测与目标价
TRNR 股价预测由两类独立数据源支撑:来自 0 位华尔街分析师(S&P Global / FMP)的共识评级,以及基于历史日终价计算的技术分析。TRNR 的共识目标价为 $22.50(+3025.0% 上行空间),分析师共识为 N/A。
Interactive Strength Inc. 在 NASDAQ 上市,代码 TRNR。TRNR 在 2027 年的整体展望偏中性/分化,在覆盖分析师中约 0% 对应 N/A 共识。
常见问题
TRNR 预测 · 8 个问题根据 0 位华尔街分析师,TRNR 的 12 个月平均目标价为 $22.50,最高 $22.50、最低 $22.50。若有图表,中位目标价可在上方查看。相对当前价 $0.72,隐含约 +3025.0% 的上行空间。
· Analyst data: Financial Modeling Prep (FMP) · S&P Global Market Intelligence · Technical analysis: FMP /historical-price-eod/light · Updated: Hourly (analyst) · Daily (technical)
⚠ This information is provided for informational purposes only and does not constitute investment advice. Short-term and long-term price predictions are algorithmically generated and carry significant uncertainty. Past performance does not guarantee future results. Always conduct your own due diligence before making investment decisions.