Quantum Biopharma (QNTM) Operating Expenses (2019 - 2026)
Quantum Biopharma's Operating Expenses came in at $2.29 million for Q2 2026, down 52.7% from $4.85 million a year earlier and down 22.7% from the prior quarter.
Powered by 
Analysis
Quantum Biopharma (QNTM) Operating Expenses (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Quantum Biopharma reported Operating Expenses of $12.31 million, down 16.2% year-over-year; for FY2025, it came in at $15.3 million, down 5.2% from FY2024.
- Operating Expenses has declined in each of the last four years, with a five-year compound annual growth rate of -13.0% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $16.14 million in FY2024 (-32.2%), $23.79 million in FY2023 (-13.3%), $27.43 million in FY2022 (-18.7%) and $33.74 million in FY2021 (+9.9%).
- The Q2 2026 figure represents the lowest quarterly Operating Expenses since Q4 2024.
- Year-over-year, Operating Expenses increased in four of the last seven quarters, with an average decline of 6.6%.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2023 (growth of 74.3%), and the weakest in Q1 2024 (a decline of 77.1%).
- Business Quant data shows QNTM's Operating Expenses at $2.97 million (Q1 2026), $2.37 million (Q4 2025) and $4.68 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Quantum Biopharma | 14.85 Mn | 2.66 Mn | - | 2.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.29 Mn |
| Mar 31, 2026 | 2.97 Mn |
| Dec 31, 2025 | 2.37 Mn |
| Sep 30, 2025 | 4.68 Mn |
| Jun 30, 2025 | 4.85 Mn |
| Mar 31, 2025 | 3.40 Mn |
| Dec 31, 2024 | 2.26 Mn |
| Sep 30, 2024 | 4.18 Mn |
| Mar 31, 2024 | 2.26 Mn |
| Dec 31, 2023 | 8.83 Mn |
| Sep 30, 2023 | 3.31 Mn |
| Mar 31, 2023 | 9.84 Mn |
| Dec 31, 2022 | 6.66 Mn |
| Sep 30, 2022 | 7.25 Mn |
| Jun 30, 2022 | 7.87 Mn |
| Mar 31, 2022 | 5.65 Mn |
| Dec 31, 2021 | 6.12 Mn |
| Sep 30, 2021 | 5.13 Mn |
| Jun 30, 2021 | 12.69 Mn |
| Mar 31, 2021 | 9.80 Mn |
API Access
Quantum Biopharma 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=QNTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "QNTM", "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=QNTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();