Head to head
Aeva Technologies vs Microsoft
Side-by-side on the measures that matter, with a plain-English read. Full detail: AEVA · MSFT
AEVA
Aeva Technologies
13.83-3.56%
1-year price shape — -19% over the period
Quant Rating D · 49/100
vs
MSFT
Microsoft
531.10+0.25%
1-year price shape — +2% over the period
Quant Rating C · 40/100
1-year performance, rebased to 100
Microsoft edges it on the scoreable measures. Microsoft has done best over the past year (+2%); Microsoft pays the highest dividend yield; Microsoft earns the most per share.
| AEVA | MSFT | |
|---|---|---|
| Snapshot | ||
| Sector | Software - Infrastructure | Software - Infrastructure |
| Last price | 13.83 | 531.10 |
| Change today | -3.56% | +0.25% |
| 1-year return | -18.7% | +1.9% |
| Market cap | $964.03M | $3.94T |
| 52-week range | 8.83 – 31.30 | 348.54 – 549.20 |
| Valuation | ||
| P/E (TTM) | -65.86 | 29.59 |
| P/E percentile, own 5-yr range | 3rd | 30th |
| P/B | 35.01 | 8.91 |
| Dividend yield | 0.00% | 0.67% |
| Profitability & growth | ||
| EPS (TTM) | -2.55 | 17.95 |
| Net profit (TTM) | $-177.75M | $133.29B |
| Revenue (TTM) | $21.60M | $331.84B |
| Revenue growth (YoY) | +11.3% | +17.7% |
| Gross margin | 27.2% | 67.9% |
| Operating margin | -610.9% | 46.8% |
| Net margin | -150.1% | 40.3% |
| Free cash flow (TTM) | $-116.67M | $66.99B |
| Ownership & sentiment | ||
| Institutional ownership | 76.7% | 75.3% |
| Insider activity (12mo) | 14 buy / 35 sell | 31 buy / 16 sell |
| Short interest (% of float) | 10.8% | 0.9% |
| Analyst consensus | 60% buy / 40% hold (5) | 100% buy (32) |
| Analyst price target | $29 (+110%) | $582 (+10%) |
| StockVane view | ||
| StockVane Quant Rating | D (49) | C (40) |
| Company | ||
| Employees | 239 | 223,000 |
| Founded | 2017 | 1975 |
▲ marks the more favourable stock(s) on measures with a clear direction (lower P/E, higher yield, higher Quant Rating, better 1-year return). Analyst consensus counts each covering institution once, at its most recent rating. Not a recommendation. Quant Rating method: Data & Methodology.