Bioharvest Sciences (BHST) Tax Provisions (2025 - 2026)
Bioharvest Sciences' Tax Provisions came in at -$52,000 for the quarter ended Jun 30, 2026, compared with -$39,000 a year earlier.
Bioharvest Sciences (BHST) Tax Provisions (2025 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Bioharvest Sciences reported Tax Provisions of -$251,000; for the year ended Dec 31, 2025, it was -$76,000.
- Going back by year, Tax Provisions was -$8,000 in the year ended Dec 31, 2024.
- The five-year range for quarterly Tax Provisions is -$216,000 (the quarter ended Dec 31, 2025) to $63,000 (the quarter ended Sep 30, 2025).
- Business Quant data shows BHST's Tax Provisions at -$46,000 (quarter ended Mar 31, 2026), -$216,000 (quarter ended Dec 31, 2025) and $63,000 (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.21 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 662.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 654.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -1.01 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -291.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 393.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 242.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | -407.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 292.00 Mn |
| 10 | Bioharvest Sciences | 27.25 Mn | -43.13 Mn | 5.08 Mn | -52,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -52,000.00 |
| Mar 31, 2026 | -46,000.00 |
| Dec 31, 2025 | -216,000.00 |
| Sep 30, 2025 | 63,000.00 |
| Jun 30, 2025 | -39,000.00 |
| Mar 31, 2025 | -38,000.00 |
Bioharvest Sciences Tax Provisions 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=tax-provisions&ticker=BHST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "BHST", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=tax-provisions&ticker=BHST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();