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Q2 2025 earnings season looks like a win on paper—81% of S&P 500 companies beat expectations—but don’t be fooled. The market’s strength is overly reliant on FAANG stocks (GOOG, META, AMZN, AAPL, MSFT) pulling the averages higher, while tariffs and lowered guidance have made “surprises” look better than they really are.
In this episode, we cut through the noise:
If you’re building an income-driven strategy or just trying to see where the next cracks—or opportunities—might show up, this is a must-listen. We’re not waiting for the headlines to tell us the story.
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Want FREE weekly market updates, Tim's top 10 dividend picks, and our portfolio updates delivered right to your inbox? Subscribe to our email list.
Stay connected. Follow us on social!
**DISCLAIMER**
Ticker metrics change as markets and companies change, so always do your own research. The content in this podcast is based on personal experience and is for educational purposes, not financial advice. See full disclaimer here.
Episode music was created using Loudly.
By Tim & Carmela4
22 ratings
Q2 2025 earnings season looks like a win on paper—81% of S&P 500 companies beat expectations—but don’t be fooled. The market’s strength is overly reliant on FAANG stocks (GOOG, META, AMZN, AAPL, MSFT) pulling the averages higher, while tariffs and lowered guidance have made “surprises” look better than they really are.
In this episode, we cut through the noise:
If you’re building an income-driven strategy or just trying to see where the next cracks—or opportunities—might show up, this is a must-listen. We’re not waiting for the headlines to tell us the story.
Text Us 📲
Want FREE weekly market updates, Tim's top 10 dividend picks, and our portfolio updates delivered right to your inbox? Subscribe to our email list.
Stay connected. Follow us on social!
**DISCLAIMER**
Ticker metrics change as markets and companies change, so always do your own research. The content in this podcast is based on personal experience and is for educational purposes, not financial advice. See full disclaimer here.
Episode music was created using Loudly.

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