Maxcyte (MXCT) Accumulated Expenses (2020 - 2026)
Maxcyte (MXCT) recorded Accumulated Expenses of $4.17 million in Q2 2026, down 34.8% from $6.4 million a year earlier and down 4.6% from the prior quarter.
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Analysis
Maxcyte (MXCT) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Maxcyte reported Accumulated Expenses of $7.81 million, down 5.9% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $8.3 million in FY2024 (-26.3%), $11.27 million in FY2023 (+36.3%), $8.27 million in FY2022 (+26.7%) and $6.52 million in FY2021 (+22.9%).
- The Q2 2026 figure is the lowest quarterly Accumulated Expenses since Q1 2022.
- On a year-over-year basis, Accumulated Expenses has declined for three consecutive quarters, with an average decline of 16.1% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 78.6% in Q1 2023, against a decline of 34.8% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.37 million (Q1 2026), $7.81 million (Q4 2025) and $8.31 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn |
| 10 | Maxcyte | 125.24 Mn | 125.24 Mn | 5.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.17 Mn |
| Mar 31, 2026 | 4.37 Mn |
| Dec 31, 2025 | 7.81 Mn |
| Sep 30, 2025 | 8.31 Mn |
| Jun 30, 2025 | 6.40 Mn |
| Mar 31, 2025 | 5.03 Mn |
| Dec 31, 2024 | 8.30 Mn |
| Sep 30, 2024 | 8.20 Mn |
| Jun 30, 2024 | 7.08 Mn |
| Mar 31, 2024 | 6.50 Mn |
| Dec 31, 2023 | 11.27 Mn |
| Sep 30, 2023 | 9.92 Mn |
| Jun 30, 2023 | 6.41 Mn |
| Mar 31, 2023 | 6.91 Mn |
| Dec 31, 2022 | 8.27 Mn |
| Sep 30, 2022 | 8.23 Mn |
| Jun 30, 2022 | 7.90 Mn |
| Mar 31, 2022 | 3.87 Mn |
| Dec 31, 2021 | 6.52 Mn |
| Sep 30, 2021 | 4.96 Mn |
API Access
Maxcyte Accumulated 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=accumulated-expenses&ticker=MXCT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=MXCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();