I’m constantly asked which stocks from my forever list I’m most eager to own next—and today I’m breaking down the top three. I walk through why Microsoft, Ferrari, and Google made the cut, the story behind each company, and the exact prices I’d be willing to pay based on real data and analysis. It’s

AI-generated source summary

The video presents a fundamental analysis of three 'forever stocks', emphasizing the value investing principle of buying quality companies at the right price. The speaker uses a proprietary stock analyzer tool, incorporating historical data, analyst estimates, and personal assumptions over a 10-year analysis period. For Microsoft (MSFT), the analysis highlights robust financial health with a 68.82% TTM gross profit margin and a 35.79% TTM profit margin. Despite impressive fundamentals and strong free cash flow, the tool's mid-range assumptions at the current price of $513.25 yield an inadequate 4.63% desired annual return. The speaker sets a target entry price of $260, indicating it is currently overvalued for his criteria. Ferrari (RACE) is praised for its brand exclusivity, controlled production, and high margins (51.20% TTM gross profit margin, 28.99% operating margin). Its strong Return on Invested Capital (19.24% 5Y) underscores efficient capital utilization. However, with conservative revenue growth and P/E assumptions, the current price of $506.51 results in a mere 0.70% desired annual return, leading the speaker to target a significantly lower entry price of $150. Alphabet (GOOGL) is recognized for its dominance in search (Google and YouTube), consistent double-digit revenue growth (18.23% 10Y CAGR), and solid profit margins (31.12% TTM). The stock analyzer, with its assumptions, suggests a 10.36% desired annual return at the current price of $194.49, which surpasses the speaker's 9% target. This positions GOOGL as a potentially attractive investment at its current valuation. The overarching theme is patience and a disciplined approach, prioritizing intrinsic value over market hype to achieve superior long-term returns.

AI-generated summary based on the source content.

Evidence and evaluation progress

1. Original source published

   19 Aug 2025, 13:54 UTC

   The analyst published the original source item.

2. First prediction resolved

   03 Sept 2025, 13:30 UTC

   The first evaluable outcome in this case reached a terminal result.

3. Source recorded by Tahlil Plus

   18 May 2026, 20:23 UTC

   The public source was preserved as the evidence record for this case.

4. Market predictions extracted

   18 May 2026, 20:48 UTC

   3 eligible signals linked to this case.

5. Outcome tracking started

   19 May 2026, 02:08 UTC

   Tahlil Plus began monitoring the extracted predictions.

6. Live evaluation in progress

   01 Aug 2026, 02:12 UTC

   2 signals remain active.