Thunder Power Holdings (AIEV) Accumulated Expenses (2022 - 2024)
Thunder Power Holdings (AIEV) reported Accumulated Expenses of $259,285 for Q1 2024, compared with $10,597 a year earlier and up 165.9% from the prior quarter.
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Analysis
Thunder Power Holdings (AIEV) Accumulated Expenses (2022 - 2024) Analysis & Trends
At the end of FY2023, Thunder Power Holdings posted Accumulated Expenses of $97,513, up 6.3% from FY2022.
- By year, Accumulated Expenses came in at $91,776 in FY2022.
- The Q1 2024 figure ranks as the highest quarterly Accumulated Expenses in data going back to Q2 2022.
- Per Business Quant data, the three quarters before Q1 2024 came in at $97,513 (Q4 2023), $100,185 (Q3 2023) and $46,254 (Q2 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,243.47 Bn | 1,069.49 Bn | 4.75 Bn |
| 2 | Ferrari | 70.68 Bn | 63.17 Bn | 1.18 Bn |
| 3 | General Motors | 67.32 Bn | -37.29 Bn | 9.28 Bn |
| 4 | Ford Motor | 47.70 Bn | -94.79 Bn | 6.08 Bn |
| 5 | Honda Motor | 45.80 Bn | -104.01 Bn | 8.46 Bn |
| 6 | Toyota Motor | 24.76 Bn | -376.05 Bn | 20.95 Bn |
| 7 | Magna International | 18.03 Bn | 12.06 Bn | 1.61 Bn |
| 8 | Rivian Automotive | 16.32 Bn | -6.99 Bn | 179.00 Mn |
| 9 | Stellantis | 12.20 Bn | -152.45 Bn | 5.55 Bn |
| 10 | Thunder Power Holdings | 9.91 Mn | 9.77 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 259,285.00 |
| Dec 31, 2023 | 97,513.00 |
| Sep 30, 2023 | 100,185.00 |
| Jun 30, 2023 | 46,254.00 |
| Mar 31, 2023 | 10,597.00 |
| Dec 31, 2022 | 91,776.00 |
| Sep 30, 2022 | 85,317.00 |
| Jun 30, 2022 | 48,689.00 |
API Access
Thunder Power Holdings Accumulated Expenses 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=accumulated-expenses&ticker=AIEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=AIEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();