ProMIS Neurosciences (PMN) Operating Expenses (2021 - 2026)
ProMIS Neurosciences' Operating Expenses was $12.27 million in Q2 2026, up 20.4% from $10.18 million a year earlier and up 41.9% from the prior quarter.
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Analysis
ProMIS Neurosciences (PMN) Operating Expenses (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, ProMIS Neurosciences' Operating Expenses was $43.43 million through Jun 30, 2026, up 54.7% year-over-year; for FY2025, it came in at $40.17 million, up 138.7% from FY2024.
- Operating Expenses shows a four-year compound annual growth rate of 48.4% (FY2021 to FY2025).
- In earlier years, Operating Expenses was $16.83 million in FY2024 (+18.0%), $14.26 million in FY2023 (-39.0%), $23.38 million in FY2022 (+182.0%) and $8.29 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q2 2021.
- Compared with a year earlier, Operating Expenses has increased for eight straight quarters, with growth averaging 98.8% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2022 (growth of 340.1%); the worst was Q3 2023 (a decline of 58.4%).
- Per Business Quant data, PMN's Operating Expenses in the three quarters before Q2 2026 was $8.64 million (Q1 2026), $10.77 million (Q4 2025) and $11.75 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | ProMIS Neurosciences | 95.51 Mn | -43.39 Mn | - | 12.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.27 Mn |
| Mar 31, 2026 | 8.64 Mn |
| Dec 31, 2025 | 10.77 Mn |
| Sep 30, 2025 | 11.75 Mn |
| Jun 30, 2025 | 10.18 Mn |
| Mar 31, 2025 | 7.46 Mn |
| Dec 31, 2024 | 6.00 Mn |
| Sep 30, 2024 | 4.43 Mn |
| Jun 30, 2024 | 2.71 Mn |
| Mar 31, 2024 | 3.68 Mn |
| Dec 31, 2023 | 3.87 Mn |
| Sep 30, 2023 | 2.52 Mn |
| Jun 30, 2023 | 2.90 Mn |
| Mar 31, 2023 | 4.97 Mn |
| Dec 31, 2022 | 8.52 Mn |
| Sep 30, 2022 | 6.05 Mn |
| Jun 30, 2022 | 4.86 Mn |
| Mar 31, 2022 | 3.94 Mn |
| Dec 31, 2021 | 4.55 Mn |
| Sep 30, 2021 | 2.07 Mn |
API Access
ProMIS Neurosciences 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=PMN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PMN", "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=PMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();