Maxcyte (MXCT) Total Current Liabilities (2020 - 2026)
Maxcyte's Total Current Liabilities came in at $9.9 million for Q2 2026, down 14.4% from $11.56 million a year earlier and down 3.1% from the prior quarter.
Maxcyte (MXCT) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Maxcyte's Total Current Liabilities was $14.27 million, down 9.6% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $15.78 million in FY2024 (-11.6%), $17.86 million in FY2023 (+15.7%), $15.43 million in FY2022 (-1.2%) and $15.62 million in FY2021 (+34.5%).
- The Q2 2026 figure represents the lowest quarterly Total Current Liabilities in data going back to Q4 2020.
- Year-over-year, Total Current Liabilities has declined for seven consecutive quarters, with an average decline of 8.7% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q2 2022 (growth of 44.5%), and the weakest in Q2 2023 (a decline of 27.1%).
- Business Quant data shows MXCT's Total Current Liabilities at $10.21 million (Q1 2026), $14.27 million (Q4 2025) and $16.1 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 9.40 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 1.51 Bn |
| 10 | Maxcyte | 123.12 Mn | 123.12 Mn | 5.60 Mn | 9.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.90 Mn |
| Mar 31, 2026 | 10.21 Mn |
| Dec 31, 2025 | 14.27 Mn |
| Sep 30, 2025 | 16.10 Mn |
| Jun 30, 2025 | 11.56 Mn |
| Mar 31, 2025 | 12.73 Mn |
| Dec 31, 2024 | 15.78 Mn |
| Sep 30, 2024 | 17.62 Mn |
| Jun 30, 2024 | 12.28 Mn |
| Mar 31, 2024 | 13.48 Mn |
| Dec 31, 2023 | 17.86 Mn |
| Sep 30, 2023 | 16.65 Mn |
| Jun 30, 2023 | 13.20 Mn |
| Mar 31, 2023 | 16.64 Mn |
| Dec 31, 2022 | 15.43 Mn |
| Sep 30, 2022 | 16.76 Mn |
| Jun 30, 2022 | 18.11 Mn |
| Mar 31, 2022 | 15.55 Mn |
| Dec 31, 2021 | 15.62 Mn |
| Sep 30, 2021 | 12.58 Mn |
Maxcyte Total 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-current-liabilities&ticker=MXCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=MXCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();