NovelStem International (NSTM) Operating Expenses (2010 - 2026)
NovelStem International's Operating Expenses came in at $34,935 for Q2 2026, down 45.4% from $63,964 a year earlier but up 605.3% from the prior quarter.
Powered by 
Analysis
NovelStem International (NSTM) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, NovelStem International reported Operating Expenses of $120,105, down 84.4% year-over-year; for FY2025, it came in at $238,755, down 74.6% from FY2024.
- Operating Expenses carries a four-year compound annual growth rate of -16.7% (FY2021 to FY2025).
- Going back by year, Operating Expenses was $939,922 in FY2024, $434,434 in FY2022 (-12.3%) and $495,535 in FY2021.
- The five-year range for quarterly Operating Expenses is -$171,044 (Q1 2022) to $566,551 (Q3 2024).
- Year-over-year, Operating Expenses has declined for six consecutive quarters, with an average decline of 58.1% over the last six quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2022 (growth of 54.8%), and the weakest in Q1 2026 (a decline of 94.8%).
- Business Quant data shows NSTM's Operating Expenses at $4,953 (Q1 2026), $40,748 (Q4 2025) and $39,469 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -6.09 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | -9.70 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 6.68 Bn |
| 10 | NovelStem International | 493,324.54 | 346,279.54 | - | 34,935.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34,935.00 |
| Mar 31, 2026 | 4,953.00 |
| Dec 31, 2025 | 40,748.00 |
| Sep 30, 2025 | 39,469.00 |
| Jun 30, 2025 | 63,964.00 |
| Mar 31, 2025 | 94,574.00 |
| Dec 31, 2024 | 46,035.00 |
| Sep 30, 2024 | 566,551.00 |
| Jun 30, 2024 | 144,030.00 |
| Mar 31, 2024 | 183,306.00 |
| Sep 30, 2023 | 557,429.00 |
| Jun 30, 2023 | 2.72 Mn |
| Mar 31, 2023 | 164,792.00 |
| Dec 31, 2022 | 169,693.00 |
| Sep 30, 2022 | 206,210.00 |
| Jun 30, 2022 | 229,575.00 |
| Mar 31, 2022 | -171,044.00 |
| Dec 31, 2021 | 129,597.00 |
| Sep 30, 2021 | 133,178.00 |
| Sep 30, 2013 | 1.41 Mn |
API Access
NovelStem International Operating Expenses 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-expenses&ticker=NSTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=NSTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();