NovelStem International (NSTM) Enterprise Value (2010 - 2026)
NovelStem International (NSTM) posted Enterprise Value of $437,090 for Q2 2026, down 68.9% from $1.41 million a year earlier but up 8.3% from the prior quarter.
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Analysis
NovelStem International (NSTM) Enterprise Value (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Enterprise Value at NovelStem International was $346,280, down 74.4% year-over-year; for FY2025, it came in at $468,482, up 1.2% from FY2024.
- Annual Enterprise Value shows a four-year compound annual growth rate of -56.5% (FY2021 to FY2025).
- In prior years, NovelStem International's Enterprise Value was $462,716 in FY2024 (-83.2%), $2.76 million in FY2023 (-69.0%), $8.9 million in FY2022 (-32.1%) and $13.12 million in FY2021.
- Quarterly Enterprise Value has run from a low of $403,475 in Q1 2026 to a high of $13.16 million in Q3 2021 over five years.
- On a year-over-year basis, Enterprise Value increased in 1 of the last seven quarters, with an average decline of 47.2%.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q4 2025, with growth of 1.2%; the weakest was Q1 2025, with a decline of 85.8%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $403,475 (Q1 2026), $468,482 (Q4 2025) and $1.41 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | NovelStem International | 493,324.54 | 346,279.54 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 437,089.54 |
| Mar 31, 2026 | 403,474.54 |
| Dec 31, 2025 | 468,481.74 |
| Sep 30, 2025 | 1.41 Mn |
| Jun 30, 2025 | 1.41 Mn |
| Mar 31, 2025 | 465,413.74 |
| Dec 31, 2024 | 462,715.74 |
| Sep 30, 2024 | 1.83 Mn |
| Jun 30, 2024 | 3.28 Mn |
| Mar 31, 2024 | 3.28 Mn |
| Dec 31, 2023 | 2.76 Mn |
| Sep 30, 2023 | 8.43 Mn |
| Jun 30, 2023 | 10.28 Mn |
| Mar 31, 2023 | 9.34 Mn |
| Dec 31, 2022 | 8.90 Mn |
| Sep 30, 2022 | 7.48 Mn |
| Jun 30, 2022 | 8.91 Mn |
| Mar 31, 2022 | 11.72 Mn |
| Dec 31, 2021 | 13.12 Mn |
| Sep 30, 2021 | 13.16 Mn |
API Access
NovelStem International Enterprise Value 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=enterprise-value&ticker=NSTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "ticker": "NSTM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=enterprise-value&ticker=NSTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();