SERA vs NEOV
Comparison between Sera Prognostics Inc Class A (SERA, Company) and NeoVolta Inc (NEOV, Company).
SERA is from the Healthcare sector, while NEOV is from the Industrials sector.
5-Year PerformanceNEOV has outperformed SERA, delivering a return of -22.1% compared to -30.2%
SERA vs NEOV - Performance Comparison
Key Characteristics
Financial metrics and valuation ratios
SERA vs NEOV - Historical Returns
Returns include dividend reinvestment.
SERA vs NEOV - Annual Returns (2020 - 2026)
Returns include dividend reinvestment.
| Year | SERA | NEOV |
|---|---|---|
| 2026 | -31.67% | -40.73% |
| 2025 | -64.59% | -42.86% |
| 2024 | +36.35% | +226.65% |
| 2023 | +356.49% | -40.20% |
| 2022 | -83.57% | -60.37% |
| 2021 | -42.27% | +69.32% |
| 2020 | N/A | +237.98% |
SERA vs NEOV Drawdown Comparison
The maximum drawdown for SERA was -91.10%, occurring on Dec 28, 2022. This drawdown has not yet recovered.
The maximum drawdown for NEOV was -90.38%, occurring on Mar 14, 2024. This drawdown has not yet recovered.
The current SERA drawdown is -84.28%. The current NEOV drawdown is -72.80%.
| Rank | SERA | NEOV |
|---|---|---|
| #1 | -91.10% Aug 9, 2021 - Dec 28, 2022 | -90.38% Jan 6, 2022 - Mar 14, 2024 |
| #2 | -23.11% Jul 15, 2021 - Aug 2, 2021 | -21.53% Sep 23, 2020 - Dec 21, 2020 |
| #3 | -8.00% Aug 2, 2021 - Aug 5, 2021 | -15.84% Jun 16, 2021 - Jan 4, 2022 |
| #4 | N/A | -11.99% Feb 16, 2021 - Mar 19, 2021 |
| #5 | N/A | -11.31% Mar 22, 2021 - Apr 28, 2021 |
| #6 | N/A | -5.05% Dec 31, 2020 - Jan 8, 2021 |
| #7 | N/A | -2.96% Jun 8, 2020 - Jun 15, 2020 |
| #8 | N/A | -1.78% Jan 28, 2021 - Feb 2, 2021 |
| #9 | N/A | -1.28% Sep 16, 2020 - Sep 18, 2020 |
| #10 | N/A | -1.22% May 17, 2021 - May 21, 2021 |
| #11 | N/A | -1.16% Sep 11, 2020 - Sep 16, 2020 |
| #12 | N/A | -1.00% Sep 18, 2020 - Sep 22, 2020 |
| #13 | N/A | -0.62% May 4, 2021 - May 10, 2021 |
| #14 | N/A | -0.53% Feb 2, 2021 - Feb 5, 2021 |
| #15 | N/A | -0.43% Aug 27, 2020 - Sep 1, 2020 |
Correlation
Correlation between SERA and NEOV is 0.29 which considered as a very weak or no correlation - the stocks move independently of each other.
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