Lobo Technologies (LOBO) Other Accumulated Expenses (2022 - 2026)
Lobo Technologies (LOBO) reported Other Accumulated Expenses of $163,625 for the quarter ended Jun 30, 2026, down 14.7% from $191,739 a year earlier.
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Analysis
Lobo Technologies (LOBO) Other Accumulated Expenses (2022 - 2026) Analysis & Trends
As of Dec 31, 2025, Lobo Technologies posted Other Accumulated Expenses of -$2.07 million.
- By year, Other Accumulated Expenses came in at $1.24 million in the year ended Dec 31, 2024, -$42,482 in the year ended Dec 31, 2023, $178,113 in the year ended Dec 31, 2022 (-84.4%) and $1.14 million in the year ended Dec 31, 2021.
- Five-year quarterly Other Accumulated Expenses spans a low of -$42,482 in the quarter ended Dec 31, 2023 and a high of $1.49 million in the quarter ended Jun 30, 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn |
| 10 | Lobo Technologies | 5.91 Mn | 416,798.57 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 163,625.00 |
| Dec 31, 2025 | 38,564.00 |
| Jun 30, 2025 | 191,739.00 |
| Dec 31, 2024 | 712,410.00 |
| Jun 30, 2024 | 1.49 Mn |
| Dec 31, 2023 | -42,482.00 |
| Dec 31, 2022 | 178,113.00 |
API Access
Lobo Technologies Other 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=other-accumulated-expenses&ticker=LOBO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "LOBO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=LOBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();