Maxcyte (MXCT) Receivables (2020 - 2026)
Maxcyte (MXCT) reported Receivables of $3.92 million for Q2 2026, down 31.8% from $5.75 million a year earlier and down 7.6% from the prior quarter.
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Analysis
Maxcyte (MXCT) Receivables (2020 - 2026) Analysis & Trends
At the end of FY2025, Maxcyte posted Receivables of $3.5 million, down 25.2% from FY2024.
- Receivables has declined for three consecutive years, with a five-year compound annual growth rate of -7.5% (FY2020 to FY2025).
- By year, Receivables came in at $4.68 million in FY2024 (-19.0%), $5.78 million in FY2023 (-48.3%), $11.18 million in FY2022 (+62.5%) and $6.88 million in FY2021 (+33.0%).
- Five-year quarterly Receivables spans a low of $3.5 million in Q4 2025 and a high of $11.18 million in Q4 2022.
- Year over year, Receivables has now declined in each of the last three quarters, with an average decline of 5.4% over the last eight quarters.
- The high point for year-over-year Receivables in five years was Q3 2025 (growth of 82.1%); the low point was Q4 2023 (a decline of 48.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.25 million (Q1 2026), $3.5 million (Q4 2025) and $8.31 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.67 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 2.36 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 955.70 Mn |
| 10 | Maxcyte | 123.12 Mn | 123.12 Mn | 5.60 Mn | 3.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.92 Mn |
| Mar 31, 2026 | 4.25 Mn |
| Dec 31, 2025 | 3.50 Mn |
| Sep 30, 2025 | 8.31 Mn |
| Jun 30, 2025 | 5.75 Mn |
| Mar 31, 2025 | 5.53 Mn |
| Dec 31, 2024 | 4.68 Mn |
| Sep 30, 2024 | 4.56 Mn |
| Jun 30, 2024 | 4.58 Mn |
| Mar 31, 2024 | 5.99 Mn |
| Dec 31, 2023 | 5.78 Mn |
| Sep 30, 2023 | 8.17 Mn |
| Jun 30, 2023 | 7.61 Mn |
| Mar 31, 2023 | 8.29 Mn |
| Dec 31, 2022 | 11.18 Mn |
| Sep 30, 2022 | 7.43 Mn |
| Jun 30, 2022 | 7.43 Mn |
| Mar 31, 2022 | 8.63 Mn |
| Dec 31, 2021 | 6.88 Mn |
| Sep 30, 2021 | 5.96 Mn |
API Access
Maxcyte Receivables 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=receivables&ticker=MXCT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=MXCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();