Toyo (TOYO) Accumulated Expenses (2026)
Toyo's Accumulated Expenses came in at $100,000 for Q2 2026.
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Analysis
Toyo (TOYO) Accumulated Expenses (2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | GE Vernova | 263.36 Bn | 224.44 Bn | 2.36 Bn |
| 2 | Bloom Energy | 84.85 Bn | 76.67 Bn | 355.57 Mn |
| 3 | First Solar | 18.77 Bn | 9.72 Bn | 605.00 Mn |
| 4 | Generac Holdings | 12.79 Bn | 11.62 Bn | 521.81 Mn |
| 5 | Nextpower | 12.78 Bn | 8.68 Bn | 335.85 Mn |
| 6 | BWX Technologies | 12.36 Bn | 10.66 Bn | 202.31 Mn |
| 7 | EnerSys | 7.13 Bn | 5.32 Bn | 313.36 Mn |
| 8 | Enphase Energy | 4.42 Bn | -436.70 Mn | 175.01 Mn |
| 9 | Mirion Technologies | 3.57 Bn | 1.46 Bn | 133.10 Mn |
| 10 | Toyo | 131.54 Mn | -132.42 Mn | 36.97 Mn |
API Access
Toyo 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=TOYO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "TOYO", "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=TOYO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();