Marpai (MRAI) Total Current Liabilities (2020 - 2026)
Marpai's Total Current Liabilities came in at $23.55 million for Q2 2026, up 19.3% from $19.73 million a year earlier but down 13.3% from the prior quarter.
Marpai (MRAI) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Marpai's Total Current Liabilities was $25.69 million, up 35.4% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 57.5% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $18.98 million in FY2024 (-8.9%), $20.84 million in FY2023 (+20.1%), $17.36 million in FY2022 (+55.8%) and $11.15 million in FY2021 (+320.7%).
- The five-year range for quarterly Total Current Liabilities is $8.65 million (Q3 2022) to $27.15 million (Q1 2026).
- Year-over-year, Total Current Liabilities has increased for five consecutive quarters, with growth averaging 12.6% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q4 2021 (growth of 320.7%), and the weakest in Q3 2022 (a decline of 41.3%).
- Business Quant data shows MRAI's Total Current Liabilities at $27.15 million (Q1 2026), $25.69 million (Q4 2025) and $22.78 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 | Unitedhealth | 336.54 Bn | 221.18 Bn | 36.67 Bn | 111.82 Bn |
| 2 | Cvs Health | 110.50 Bn | 63.10 Bn | 47.23 Bn | 87.04 Bn |
| 3 | Mckesson | 105.27 Bn | 91.73 Bn | 3.69 Bn | 70.36 Bn |
| 4 | Elevance Health | 83.85 Bn | -57.90 Bn | 13.45 Bn | 44.25 Bn |
| 5 | Cigna | 71.48 Bn | 41.02 Bn | 14.97 Bn | 55.56 Bn |
| 6 | Cencora | 58.97 Bn | 48.06 Bn | 3.61 Bn | 59.20 Bn |
| 7 | Cardinal Health | 53.10 Bn | 37.10 Bn | 2.56 Bn | 43.90 Bn |
| 8 | Humana | 46.62 Bn | -41.18 Bn | 5.50 Bn | 23.01 Bn |
| 9 | Centene | 31.12 Bn | -59.17 Bn | 14.55 Bn | 40.76 Bn |
| 10 | Marpai | 92.03 Mn | 91.11 Mn | 997,000.00 | 23.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.55 Mn |
| Mar 31, 2026 | 27.15 Mn |
| Dec 31, 2025 | 25.69 Mn |
| Sep 30, 2025 | 22.78 Mn |
| Jun 30, 2025 | 19.73 Mn |
| Mar 31, 2025 | 19.79 Mn |
| Dec 31, 2024 | 18.98 Mn |
| Sep 30, 2024 | 18.18 Mn |
| Jun 30, 2024 | 18.69 Mn |
| Mar 31, 2024 | 20.12 Mn |
| Dec 31, 2023 | 20.84 Mn |
| Sep 30, 2023 | 20.45 Mn |
| Jun 30, 2023 | 22.23 Mn |
| Mar 31, 2023 | 17.46 Mn |
| Dec 31, 2022 | 17.36 Mn |
| Sep 30, 2022 | 8.65 Mn |
| Jun 30, 2022 | 9.54 Mn |
| Mar 31, 2022 | 11.97 Mn |
| Dec 31, 2021 | 11.15 Mn |
| Sep 30, 2021 | 14.73 Mn |
Marpai 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=MRAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "MRAI", "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=MRAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();