GOOGL vs META: Correlation
Alphabet Inc. (Class A) (GOOGL) and Meta Platforms (META) show a weak relationship: their 3-year correlation of weekly returns is 0.29.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are GOOGL and META?
Over the past 3 years, GOOGL and META moved with a correlation of 0.29, which is weak. The relationship has been stable: the 1-year correlation (0.29) sits close to the 3-year figure. Over 5 years the correlation is 0.42, and the annualized covariance of weekly returns is 337.7 %².
Among the 37 assets we track against GOOGL, META ranks #19 by 3-year correlation. Correlation aside, the last 12 months split them widely, with GOOGL ahead by 88.0 points (+64.7% versus -23.3%). The relationship is regime-dependent: the rolling one-year correlation swung between -0.01 and 0.70 over the past three years, so this pair behaves very differently depending on the market environment.
How is this computed?
Pearson correlation on weekly returns: ρ(A,B) = cov(rA, rB) / (σA · σB), over windows of 52, 156 and 260 weeks. Covariance is annualized (×52) and expressed in %². Full definitions on the methodology page.
GOOGL vs META: side by side
| GOOGL (Alphabet Inc. (Class A)) | META (Meta Platforms) | |
|---|---|---|
| 1-year return | +64.7% | -23.3% |
| 5-year return | +137.7% | +51.3% |
| Volatility (ann.) | 31.4% | 36.9% |
| Beta vs S&P 500 | 1.22 | 1.45 |
| Max drawdown (3Y) | -29.8% | -34.2% |
| Market cap | $4,166.1B | $1,454.9B |
| P/E (trailing) | 17.2 | 21.7 |
| Dividend yield | 0.25% | 0.36% |
| Sector / category | Communication Services | Communication Services |
Year-by-year returns
| Year | GOOGL | META |
|---|---|---|
| 2022 | -39.1% | -64.2% |
| 2023 | +58.3% | +194.1% |
| 2024 | +36.0% | +66.0% |
| 2025 | +66.0% | +13.1% |
| 2026 | +9.0% | -13.3% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are GOOGL and META good diversifiers for each other?
Reasonably. At 0.29, GOOGL and META keep a meaningful degree of independence, and combining them has historically reduced portfolio volatility.
FAQ
What is the correlation between GOOGL and META?
The GOOGL/META correlation stands at 0.29 on a 3-year window (1 year: 0.29, 5 years: 0.42), computed from weekly returns as of 2026-08-27.
Is META a good diversifier for GOOGL?
Reasonably. At 0.29, GOOGL and META keep a meaningful degree of independence, and combining them has historically reduced portfolio volatility.
What does a correlation of 0.29 mean?
A reading of 0.29 sits on a scale from −1 (opposite moves) through 0 (unrelated) to +1 (identical moves). Correlation captures direction, not magnitude or performance.
Use this data
$ curl https://www.pairbook.io/api/v1/pairs/googl-vs-meta.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/googl-vs-meta/)
No key needed, free to use. Full endpoint list in the API documentation.
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Hubs: GOOGL correlations · META correlations