Bioharvest Sciences (BHST) Operating Leases (2023 - 2026)
Bioharvest Sciences (BHST) recorded Operating Leases of $9.65 million in the quarter ended Jun 30, 2025, up 4.7% from $9.22 million a year earlier and up 13.1% from the prior quarter.
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Analysis
Bioharvest Sciences (BHST) Operating Leases (2023 - 2026) Analysis & Trends
As of Dec 31, 2024, Bioharvest Sciences reported Operating Leases of $9.14 million, up 541.5% from the prior year.
- Across earlier years, Operating Leases came in at $1.43 million in the year ended Dec 31, 2023.
- Per Business Quant, the preceding three quarters came in at $8.53 million (quarter ended Mar 31, 2025), $9.14 million (quarter ended Dec 31, 2024) and $9.5 million (quarter ended Sep 30, 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.85 Bn | 1,106.43 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 618.85 Bn | 537.37 Bn | 17.26 Bn |
| 3 | AbbVie | 503.03 Bn | 476.14 Bn | 12.70 Bn |
| 4 | Merck | 368.52 Bn | 322.90 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.19 Bn | 262.18 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.33 Bn | 235.02 Bn | 12.86 Bn |
| 7 | Amgen | 237.14 Bn | 192.53 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 191.35 Bn | 165.54 Bn | 6.22 Bn |
| 9 | Pfizer | 169.80 Bn | 116.45 Bn | 10.94 Bn |
| 10 | Bioharvest Sciences | 30.75 Mn | -37.62 Mn | 5.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.28 Mn |
| Mar 31, 2026 | 10.25 Mn |
| Dec 31, 2025 | 10.13 Mn |
| Sep 30, 2025 | 9.88 Mn |
| Jun 30, 2025 | 9.65 Mn |
| Mar 31, 2025 | 8.53 Mn |
| Dec 31, 2024 | 9.14 Mn |
| Sep 30, 2024 | 9.50 Mn |
| Jun 30, 2024 | 9.22 Mn |
| Mar 31, 2024 | 9.14 Mn |
| Dec 31, 2023 | 1.43 Mn |
API Access
Bioharvest Sciences Operating 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=operating-leases&ticker=BHST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-leases&ticker=BHST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();