Bioharvest Sciences (BHST) Capital Leases (2023 - 2026)
Bioharvest Sciences (BHST) recorded Capital Leases of $1.76 million in the quarter ended Jun 30, 2026, up 20.9% from $1.45 million a year earlier and up 38.3% from the prior quarter.
Bioharvest Sciences (BHST) Capital Leases (2023 - 2026) Analysis & Trends
As of Dec 31, 2025, Bioharvest Sciences reported Capital Leases of $1.41 million, up 82.0% from the prior year.
- Across earlier years, Capital Leases came in at $772,000 in the year ended Dec 31, 2024 (+102.1%) and $382,000 in the year ended Dec 31, 2023.
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Capital Leases in data going back to the quarter ended Dec 31, 2023.
- On a year-over-year basis, Capital Leases has increased for three consecutive quarters, with growth averaging 52.4% over the last five quarters.
- Per Business Quant, the preceding three quarters came in at $1.27 million (quarter ended Mar 31, 2026), $1.41 million (quarter ended Dec 31, 2025) and $1.45 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn |
| 10 | Bioharvest Sciences | 30.78 Mn | -37.59 Mn | 5.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.76 Mn |
| Mar 31, 2026 | 1.27 Mn |
| Dec 31, 2025 | 10.13 Mn |
| Sep 30, 2025 | 1.45 Mn |
| Jun 30, 2025 | 1.45 Mn |
| Mar 31, 2025 | 1.06 Mn |
| Dec 31, 2024 | 9.14 Mn |
| Mar 31, 2024 | 772,000.00 |
| Dec 31, 2023 | 1.43 Mn |
Bioharvest Sciences Capital Leases 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=capital-leases&ticker=BHST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-leases", "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=capital-leases&ticker=BHST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();