A target price estimates a stock’s future value over a specified horizon, commonly 12 months. Analysts derive it from available financial data, often using fundamental analysis or DCF models, but methods may be proprietary. section 2.5 section 2.5.2
Table 2.15 Target prices of selected companies
|
Company
|
Price ($)
|
Mean price ($)
|
Median price ($)
|
High price ($)
|
Low price ($)
|
Recommended mean
|
Recommended key
|
No. of analysts
|
|---|---|---|---|---|---|---|---|---|
|
Apple (AAPL)
|
203.92
|
228.85
|
232.5
|
300.0
|
170.62
|
2.1
|
Buy
|
40
|
|
Microsoft (MSFT)
|
470.38
|
509.11
|
500.0
|
650.0
|
429.86
|
1.4
|
Strong buy
|
50
|
|
NVIDIA (NVDA)
|
141.72
|
172.02
|
175.0
|
220.0
|
100.0
|
1.44
|
Strong buy
|
55
|
|
Salesforce (CRM)
|
274.51
|
354.25
|
360.0
|
442.0
|
225.0
|
1.7
|
Buy
|
52
|
|
Data taken from the yfinance library on June 8, 2025
|
Compare current prices with mean, median, high, and low analyst targets, recommendation scores, and analyst counts for selected companies. section 2.5.2
Use target prices as uncertain inputs rather than promises:
- Treat estimates as opinions because unpredictable events can invalidate assumptions about stable market conditions. section 2.5.2
- Compare ranges and analyst counts, and examine rating changes to understand market sentiment rather than relying on one forecast. section 2.5.2
- Avoid treating professional ratings or forecasts as guaranteed returns; analysts can be wrong and recommendations require due diligence. section 2.5.2 section 2.6
