Companies: 10,795·Total market cap: $144.5T
Escalade, Incorporated

Escalade, Incorporated

ESCANASDAQConsumer Cyclical● Active
$17.90
$-0.41(-2.24%)
Market Cap$247109500
P/E Ratio
52W High$21.32
52W Low$11.41

Escalade, Incorporated(ESCA)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。

esca · 股价预测 · 5 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 5 位华尔街分析师

SellBuy

Buy

5 位分析师

共识

评级分布

Strong Buy
0
Buy
5
Hold
0
Sell
0
Strong Sell
0
合计: 5 · 买入占比: 100.0%

12 个月目标价

High

$0.00

Consensus

$0.00

+0.0% upside

Low

$0.00

Median: $0 · Last Close: $17.90

Escalade, Incorporated(ESCA)的分析师共识为 Buy,基于过去 3 个月内 5 位华尔街分析师的评级。ESCA 的 12 个月平均目标价为 $0.00,相对当前价 $17.90 代表 +0.0% 的潜在上行空间。

短期股价预测

算法生成 · 每日更新

DatePredicted PriceChange
2026-06-09$17.551.98%

1-day model range: $17.44–$17.65. Peak: $17.65 (-1.98%).

长期股价预测

年度股价预测 · 2027 / 2028 / 2029 / 2030 / 2031

YearAvg PriceChange
2027$19+7.7%
2028$20+11.8%
2029$20+14.0%
2030$21+15.1%
2031+15.6%
Confidence:Medium

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

29%7%64%
4Buy
1Neutral
9Sell
RSI (14)44.0Neutral
MACDBEARISH

Refreshes daily from EOD close

Moving Averages · ESCA · Jun 8, 2026

Simple Moving Average (SMA)
MA 5$17.99SELL
MA 10$18.45SELL
MA 20$18.53SELL
MA 50$18.39SELL
MA 100$16.74BUY
MA 200$14.67BUY
Current $ESCA · Price above MA = BUY signal
Exponential Moving Average (EMA)
EMA 5$18.11SELL
EMA 10$18.29SELL
EMA 20$18.45SELL
EMA 50$18.08SELL
EMA 100$17.01BUY
EMA 200$15.76BUY
Current $ESCA · Price above MA = BUY signal
How we calculate: Technical sentiment is derived from 14 indicators — SMA(5,10,20,50,100,200), EMA(5,10,20,50,100,200), RSI(14), and MACD(12,26,9) — calculated from historical EOD price data. BUY = current price above MA; SELL = below. 14 TA signals + historical EOD price data · Updated daily. Independent of analyst consensus data. Not investment advice.

最新分析师评级与调整

Filter:
Aegis Capital2021-02-18
Maintains
BuyBuy
Aegis Capital2020-09-09
Maintains
BuyBuy
Aegis Capital2017-09-25
Maintains
BuyBuy
Wunderlich Securities2016-06-20
Maintains
BuyBuy
Wunderlich2016-06-20
Maintains
BuyBuy
Wunderlich2016-01-13
Upgrade ↑
HoldBuy
Wunderlich Securities2016-01-13
Upgrade ↑
HoldBuy
Roth Capital2015-12-08
Maintains
BuyBuy
Wunderlich2015-02-18
Downgrade ↓
BuyHold
Wunderlich Securities2015-02-18
Downgrade ↓
BuyHold

Wall Street analysts have recently issued updated ratings on Escalade, Incorporated (ESCA) stock. Of the recent 14 rating actions, 2 were upgrades and 2 were downgrades. 5 analysts currently cover ESCA.

分析师推荐趋势

Buy ratings11
Hold ratings00
Sell ratings00

ESCA analyst recommendation trends show stable buy-side sentiment over the past 6 months. Buy rating actions changed from 1 to 1 per month.

财务预测:EPS 与营收一致预期

Revenue This Year

$313M

↑ 25.2% YoY

Revenue Next Year

$265M

↓ 15.3% YoY

EPS This Year

$1.34

EPS Next Year

$0.80

↓ 40.3% YoY

EPS ForecastReported vs Estimated

Reported EPSHistorical estimateAnalyst forecast (future)

Analysts forecast ESCA EPS of $1.34 for the current fiscal year, based on estimates from 1 analysts. The ESCA revenue forecast is $313M for the current year. These are analyst consensus estimates via FMP / S&P Global.

关于预测与目标价

ESCA 股价预测由两类独立数据源支撑:来自 5 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。ESCA 的共识目标价为 $0.00(+0.0% 上行空间),分析师共识为 Buy。

ESCA 的短期预测(明日)为 $17.55(-1.98%)。 ESCA 对 2027 年的股价预测均值为 $19。 ESCA 对 2030 年的预测区间为 $19–$22。

Escalade, Incorporated 在 NASDAQ 上市,代码 ESCA。ESCA 在 2027 年的整体展望偏积极,在覆盖分析师中约 100% 对应 Buy 共识。

常见问题答案综合分析师目标价、一致预期及页面展示的模型结果。

常见问题

ESCA 预测 · 8 个问题

根据 5 位华尔街分析师,ESCA 的 12 个月平均目标价为 $0.00,最高 $0.00、最低 $0.00。若有图表,中位目标价可在上方查看。相对当前价 $17.90,隐含约 +0.0% 的上行空间。

ESCA 目标价ESCA 分析师目标价ESCA 12个月目标价目标价 ESCA

· 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.