Baird Medical Investment Holdings (BDMD) Accumulated Expenses (2023 - 2026)
Baird Medical Investment Holdings' Accumulated Expenses came in at $9.85 million for Q2 2026, down 100.0% from $2.62 trillion a year earlier.
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Analysis
Baird Medical Investment Holdings (BDMD) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Baird Medical Investment Holdings' Accumulated Expenses was $8.59 million, down 100.0% from FY2024.
- Going back by year, Accumulated Expenses was $2.52 trillion in FY2024 (+191.2%) and $864.69 billion in FY2023.
- The five-year range for quarterly Accumulated Expenses is $8.59 million (Q4 2025) to $2.62 trillion (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Baird Medical Investment Holdings | 23.06 Mn | -471.91 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.85 Mn |
| Dec 31, 2025 | 8.59 Mn |
| Jun 30, 2025 | 2,623.15 Bn |
| Dec 31, 2024 | 2,518.18 Bn |
| Dec 31, 2023 | 864.69 Bn |
API Access
Baird Medical Investment 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=BDMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "BDMD", "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=BDMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();