Marpai (MRAI) Total Liabilities (2020 - 2026)
Marpai (MRAI) recorded Total Liabilities of $48.36 million in Q2 2026, up 11.4% from $43.43 million a year earlier and up 4.8% from the prior quarter.
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Analysis
Marpai (MRAI) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Marpai reported Total Liabilities of $43.47 million, up 7.1% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 34.1% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $40.59 million in FY2024 (-10.0%), $45.12 million in FY2023 (+3.0%), $43.81 million in FY2022 (+202.3%) and $14.49 million in FY2021 (+44.5%).
- The Q2 2026 figure is the highest quarterly Total Liabilities in data going back to Q4 2020.
- On a year-over-year basis, Total Liabilities has increased for three consecutive quarters, with growth averaging 0.7% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 292.6% in Q3 2023, against a decline of 49.6% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $46.16 million (Q1 2026), $43.47 million (Q4 2025) and $46.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unitedhealth | 336.54 Bn | 221.18 Bn | 36.67 Bn | 205.21 Bn |
| 2 | Cvs Health | 110.50 Bn | 63.10 Bn | 47.23 Bn | 173.87 Bn |
| 3 | Mckesson | 105.27 Bn | 91.73 Bn | 3.69 Bn | 92.57 Bn |
| 4 | Elevance Health | 83.85 Bn | -57.90 Bn | 13.45 Bn | 81.42 Bn |
| 5 | Cigna | 71.48 Bn | 41.02 Bn | 14.97 Bn | 114.17 Bn |
| 6 | Cencora | 58.97 Bn | 48.06 Bn | 3.61 Bn | 80.57 Bn |
| 7 | Cardinal Health | 53.10 Bn | 37.10 Bn | 2.56 Bn | 60.18 Bn |
| 8 | Humana | 46.62 Bn | -41.18 Bn | 5.50 Bn | 37.92 Bn |
| 9 | Centene | 31.12 Bn | -59.17 Bn | 14.55 Bn | 60.38 Bn |
| 10 | Marpai | 92.03 Mn | 91.11 Mn | 997,000.00 | 48.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.36 Mn |
| Mar 31, 2026 | 46.16 Mn |
| Dec 31, 2025 | 43.47 Mn |
| Sep 30, 2025 | 46.10 Mn |
| Jun 30, 2025 | 43.43 Mn |
| Mar 31, 2025 | 43.92 Mn |
| Dec 31, 2024 | 40.59 Mn |
| Sep 30, 2024 | 47.17 Mn |
| Jun 30, 2024 | 47.88 Mn |
| Mar 31, 2024 | 44.58 Mn |
| Dec 31, 2023 | 45.12 Mn |
| Sep 30, 2023 | 44.85 Mn |
| Jun 30, 2023 | 46.39 Mn |
| Mar 31, 2023 | 44.14 Mn |
| Dec 31, 2022 | 43.81 Mn |
| Sep 30, 2022 | 11.42 Mn |
| Jun 30, 2022 | 12.53 Mn |
| Mar 31, 2022 | 15.17 Mn |
| Dec 31, 2021 | 14.49 Mn |
| Sep 30, 2021 | 22.67 Mn |
API Access
Marpai Total 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-liabilities&ticker=MRAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=MRAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();