Maxcyte (MXCT) Total Non-Current Liabilities (2020 - 2026)
Maxcyte (MXCT) reported Total Non-Current Liabilities of $25.62 million for Q2 2026, down 11.0% from $28.78 million a year earlier and down 2.7% from the prior quarter.
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Analysis
Maxcyte (MXCT) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Maxcyte posted Total Non-Current Liabilities of $30.75 million, down 6.7% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 11.6% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $32.95 million in FY2024 (-8.0%), $35.82 million in FY2023 (+14.2%), $31.37 million in FY2022 (+51.0%) and $20.77 million in FY2021 (+16.9%).
- The Q2 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities since Q4 2021.
- Year over year, Total Non-Current Liabilities has now declined in each of the last seven quarters, with an average decline of 5.3% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2022 (growth of 144.7%); the low point was Q1 2026 (a decline of 13.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $26.33 million (Q1 2026), $30.75 million (Q4 2025) and $32.97 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | - |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | - |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 2.57 Bn |
| 10 | Maxcyte | 123.12 Mn | 123.12 Mn | 5.60 Mn | 25.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.62 Mn |
| Mar 31, 2026 | 26.33 Mn |
| Dec 31, 2025 | 30.75 Mn |
| Sep 30, 2025 | 32.97 Mn |
| Jun 30, 2025 | 28.78 Mn |
| Mar 31, 2025 | 30.28 Mn |
| Dec 31, 2024 | 32.95 Mn |
| Sep 30, 2024 | 35.03 Mn |
| Jun 30, 2024 | 29.93 Mn |
| Mar 31, 2024 | 31.29 Mn |
| Dec 31, 2023 | 35.82 Mn |
| Sep 30, 2023 | 32.03 Mn |
| Jun 30, 2023 | 28.91 Mn |
| Mar 31, 2023 | 32.42 Mn |
| Dec 31, 2022 | 31.37 Mn |
| Jun 30, 2022 | 32.16 Mn |
| Mar 31, 2022 | 28.32 Mn |
| Dec 31, 2021 | 20.77 Mn |
| Sep 30, 2021 | 13.08 Mn |
| Jun 30, 2021 | 13.14 Mn |
API Access
Maxcyte Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=MXCT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=MXCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();