Bioharvest Sciences (BHST) Non-cash Items (2024 - 2026)
Bioharvest Sciences (BHST) recorded Non-cash Items of -$2.51 million in the quarter ended Jun 30, 2026, compared with -$1.82 million a year earlier.
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Analysis
Bioharvest Sciences (BHST) Non-cash Items (2024 - 2026) Analysis & Trends
On a TTM basis, Bioharvest Sciences' Non-cash Items came in at -$7.32 million as of Jun 30, 2026; for the year ended Dec 31, 2024, it came in at $3.5 million, up 242.1% from the prior year.
- Across earlier years, Non-cash Items came in at $1.02 million in the year ended Dec 31, 2023.
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Non-cash Items in data going back to the quarter ended Mar 31, 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Bioharvest Sciences | 27.25 Mn | -43.13 Mn | 5.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.51 Mn |
| Mar 31, 2026 | -1.28 Mn |
| Jun 30, 2025 | -1.82 Mn |
| Mar 31, 2025 | -1.72 Mn |
| Dec 31, 2024 | 21,000.00 |
| Sep 30, 2024 | 29,000.00 |
| Jun 30, 2024 | -1.17 Mn |
| Mar 31, 2024 | 4.62 Mn |
API Access
Bioharvest Sciences Non-cash Items 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=non-cash-items&ticker=BHST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-cash-items", "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=non-cash-items&ticker=BHST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();