Thunder Power Holdings (AIEV) Price to Book (2023 - 2026)
Thunder Power Holdings' Price to Book came in at 1.46 for Q2 2026, up 37.5% from 1.06 a year earlier.
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Analysis
Thunder Power Holdings (AIEV) Price to Book (2023 - 2026) Analysis & Trends
For FY2025, Thunder Power Holdings' Price to Book was 2.74, down 20.0% from FY2024.
- Going back by year, Price to Book was 3.42 in FY2024 (-97.8%) and 156.14 in FY2023.
- The five-year range for quarterly Price to Book is 1.06 (Q2 2025) to 156.14 (Q4 2023).
- Year-over-year, Price to Book increased in 1 of the last seven quarters, with an average decline of 52.7%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,231.10 Bn | 1,057.12 Bn | 4.75 Bn |
| 2 | Ferrari | 70.90 Bn | 63.39 Bn | 1.18 Bn |
| 3 | General Motors | 67.40 Bn | -37.21 Bn | 9.28 Bn |
| 4 | Ford Motor | 47.78 Bn | -94.71 Bn | 6.08 Bn |
| 5 | Honda Motor | 46.11 Bn | -103.70 Bn | 8.46 Bn |
| 6 | Toyota Motor | 24.76 Bn | -376.05 Bn | 20.95 Bn |
| 7 | Magna International | 18.23 Bn | 12.25 Bn | 1.61 Bn |
| 8 | Rivian Automotive | 15.97 Bn | -7.34 Bn | 179.00 Mn |
| 9 | Stellantis | 12.31 Bn | -152.34 Bn | 5.55 Bn |
| 10 | Thunder Power Holdings | 10.33 Mn | 10.19 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.46 |
| Dec 31, 2025 | 2.74 |
| Sep 30, 2025 | 3.38 |
| Jun 30, 2025 | 1.06 |
| Mar 31, 2025 | 1.32 |
| Dec 31, 2024 | 3.42 |
| Sep 30, 2024 | 3.48 |
| Jun 30, 2024 | 8.71 |
| Mar 31, 2024 | 168.95 |
| Dec 31, 2023 | 156.14 |
| Sep 30, 2023 | 117.99 |
API Access
Thunder Power Holdings 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=AIEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "AIEV", "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=AIEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();