Aeva Technologies (AEVA) Price to Book (2020 - 2026)
Aeva Technologies' (AEVA) Price to Book came in at 71.65 for Q2 2026.
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Analysis
Aeva Technologies (AEVA) Price to Book (2020 - 2026) Analysis & Trends
For FY2025, Aeva Technologies' Price to Book stood at 61.88.
- In prior years, Aeva Technologies' Price to Book was 2.59 in FY2024 (+197.8%), 0.87 in FY2023 (-3.6%), 0.90 in FY2022 (-74.7%) and 3.56 in FY2021 (-95.4%).
- The Q2 2026 figure stands as the highest quarterly Price to Book since Q4 2020.
- The strongest year-over-year quarter for Price to Book in the past five years was Q1 2025, with growth of 433.8%; the weakest was Q4 2021, with a decline of 95.4%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,150.22 Bn | 4,895.69 Bn | 54.82 Bn |
| 2 | Cisco Systems | 390.67 Bn | 326.60 Bn | 11.06 Bn |
| 3 | Arista Networks | 234.99 Bn | 184.19 Bn | 2.33 Bn |
| 4 | Dell Technologies | 223.66 Bn | 179.42 Bn | 9.83 Bn |
| 5 | Sony | 161.53 Bn | 96.07 Bn | 7.96 Bn |
| 6 | Sandisk | 129.94 Bn | 114.77 Bn | 9.38 Bn |
| 7 | Seagate Technology Holdings | 115.51 Bn | 110.35 Bn | 2.43 Bn |
| 8 | Western Digital | 105.83 Bn | 95.66 Bn | 2.53 Bn |
| 9 | Hewlett Packard Enterprise | 63.65 Bn | 41.53 Bn | 4.93 Bn |
| 10 | Aeva Technologies | 798.71 Mn | 350.53 Mn | 2.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.65 |
| Dec 31, 2025 | 61.88 |
| Sep 30, 2025 | 26.19 |
| Mar 31, 2025 | 5.59 |
| Dec 31, 2024 | 2.59 |
| Sep 30, 2024 | 1.37 |
| Jun 30, 2024 | 0.84 |
| Mar 31, 2024 | 1.05 |
| Dec 31, 2023 | 0.87 |
| Sep 30, 2023 | 0.69 |
| Jun 30, 2023 | 1.01 |
| Mar 31, 2023 | 0.87 |
| Dec 31, 2022 | 0.90 |
| Sep 30, 2022 | 1.12 |
| Jun 30, 2022 | 1.71 |
| Mar 31, 2022 | 2.20 |
| Dec 31, 2021 | 3.56 |
| Sep 30, 2021 | 3.52 |
| Jun 30, 2021 | 4.46 |
| Mar 31, 2021 | 3.64 |
API Access
Aeva Technologies Price to Book API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=price-to-book&ticker=AEVA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "AEVA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-book&ticker=AEVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();