Bodhi Tree Biotechnology (BDTB) Operating Expenses (2024 - 2026)
Bodhi Tree Biotechnology (BDTB) posted Operating Expenses of $33,195 for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 66.2% from $19,975 a year earlier.
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Analysis
Bodhi Tree Biotechnology (BDTB) Operating Expenses (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Bodhi Tree Biotechnology was $128,806; for FY2025 (ended Sep 30, 2025), it was $164,618, up 69.8% from FY2024.
- In prior fiscal years, Bodhi Tree Biotechnology's Operating Expenses was $96,953 in FY2024.
- Quarterly Operating Expenses has run from a low of $19,975 in fiscal Q3 2025 to a high of $69,777 in fiscal Q1 2025 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 147.80 Bn | 107.08 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 88.17 Bn | 87.25 Bn | 1.55 Bn | 841.66 Mn |
| 3 | Iron Mountain | 34.25 Bn | 33.44 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 17.39 Bn | 14.43 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 16.15 Bn | 15.70 Bn | 569.95 Mn | 877.22 Mn |
| 6 | UL Solutions | 14.99 Bn | 13.75 Bn | 417.00 Mn | 267.00 Mn |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn | 4.84 Bn |
| 8 | Gartner | 14.61 Bn | 8.30 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.62 Bn | 4.14 Bn | - | - |
| 10 | Bodhi Tree Biotechnology | 7.12 Mn | 6.84 Mn | - | 33,195.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33,195.00 |
| Dec 31, 2025 | 52,949.00 |
| Sep 30, 2025 | 22,687.00 |
| Jun 30, 2025 | 19,975.00 |
| Mar 31, 2025 | 52,179.00 |
| Dec 31, 2024 | 69,777.00 |
API Access
Bodhi Tree Biotechnology Operating 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=operating-expenses&ticker=BDTB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BDTB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=BDTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();