Maxcyte (MXCT) Operating Expenses (2020 - 2026)
Maxcyte's Operating Expenses came in at $15.83 million for Q2 2026, down 25.4% from $21.22 million a year earlier but up 10.9% from the prior quarter.
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Analysis
Maxcyte (MXCT) Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Maxcyte reported Operating Expenses of $66.39 million, down 19.0% year-over-year; for FY2025, it came in at $78.7 million, down 4.9% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 18.0% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $82.72 million in FY2024 (-2.5%), $84.85 million in FY2023 (+27.5%), $66.52 million in FY2022 (+37.3%) and $48.44 million in FY2021 (+40.6%).
- The five-year range for quarterly Operating Expenses is $11.64 million (Q3 2021) to $22.21 million (Q1 2024).
- Year-over-year, Operating Expenses has declined for four consecutive quarters, with an average decline of 11.9% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2022 (growth of 60.4%), and the weakest in Q1 2026 (a decline of 32.7%).
- Business Quant data shows MXCT's Operating Expenses at $14.27 million (Q1 2026), $16.92 million (Q4 2025) and $19.38 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 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Maxcyte | 123.12 Mn | 123.12 Mn | 5.60 Mn | 15.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.83 Mn |
| Mar 31, 2026 | 14.27 Mn |
| Dec 31, 2025 | 16.92 Mn |
| Sep 30, 2025 | 19.38 Mn |
| Jun 30, 2025 | 21.22 Mn |
| Mar 31, 2025 | 21.19 Mn |
| Dec 31, 2024 | 19.31 Mn |
| Sep 30, 2024 | 20.29 Mn |
| Jun 30, 2024 | 20.91 Mn |
| Mar 31, 2024 | 22.21 Mn |
| Dec 31, 2023 | 22.19 Mn |
| Sep 30, 2023 | 21.16 Mn |
| Jun 30, 2023 | 20.74 Mn |
| Mar 31, 2023 | 20.75 Mn |
| Dec 31, 2022 | 17.63 Mn |
| Sep 30, 2022 | 16.99 Mn |
| Jun 30, 2022 | 17.23 Mn |
| Mar 31, 2022 | 14.68 Mn |
| Dec 31, 2021 | 13.88 Mn |
| Sep 30, 2021 | 11.64 Mn |
API Access
Maxcyte 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=MXCT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MXCT", "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=MXCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();