Marpai (MRAI) Total Non-Current Liabilities (2021 - 2026)
Marpai (MRAI) reported Total Non-Current Liabilities of $30.05 million for Q2 2026, up 8.5% from $27.71 million a year earlier but down 12.3% from the prior quarter.
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Analysis
Marpai (MRAI) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Marpai posted Total Non-Current Liabilities of $32.02 million, up 24.6% from FY2024.
- Total Non-Current Liabilities has a four-year compound annual growth rate of 22.0% (FY2021 to FY2025).
- By year, Total Non-Current Liabilities came in at $25.7 million in FY2024 (-0.1%), $25.72 million in FY2023 (+8.9%), $23.61 million in FY2022 (+63.4%) and $14.45 million in FY2021.
- Five-year quarterly Total Non-Current Liabilities spans a low of $11.38 million in Q3 2022 and a high of $34.26 million in Q1 2026.
- Year over year, Total Non-Current Liabilities has now increased in each of the last four quarters, with growth averaging 10.4% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q3 2023 (growth of 126.2%); the low point was Q3 2022 (a decline of 49.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $34.26 million (Q1 2026), $32.02 million (Q4 2025) and $29.93 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unitedhealth | 336.54 Bn | 221.18 Bn | 36.67 Bn | 185.48 Bn |
| 2 | Cvs Health | 110.50 Bn | 63.10 Bn | 47.23 Bn | 167.76 Bn |
| 3 | Mckesson | 105.27 Bn | 91.73 Bn | 3.69 Bn | 87.51 Bn |
| 4 | Elevance Health | 83.85 Bn | -57.90 Bn | 13.45 Bn | 77.13 Bn |
| 5 | Cigna | 71.48 Bn | 41.02 Bn | 14.97 Bn | 106.62 Bn |
| 6 | Cencora | 58.97 Bn | 48.06 Bn | 3.61 Bn | 76.60 Bn |
| 7 | Cardinal Health | 53.10 Bn | 37.10 Bn | 2.56 Bn | - |
| 8 | Humana | 46.62 Bn | -41.18 Bn | 5.50 Bn | 34.99 Bn |
| 9 | Centene | 31.12 Bn | -59.17 Bn | 14.55 Bn | 57.57 Bn |
| 10 | Marpai | 92.03 Mn | 91.11 Mn | 997,000.00 | 30.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.05 Mn |
| Mar 31, 2026 | 34.26 Mn |
| Dec 31, 2025 | 32.02 Mn |
| Sep 30, 2025 | 29.93 Mn |
| Jun 30, 2025 | 27.71 Mn |
| Mar 31, 2025 | 28.59 Mn |
| Dec 31, 2024 | 25.70 Mn |
| Sep 30, 2024 | 26.70 Mn |
| Jun 30, 2024 | 27.73 Mn |
| Mar 31, 2024 | 24.86 Mn |
| Dec 31, 2023 | 25.72 Mn |
| Sep 30, 2023 | 25.74 Mn |
| Jun 30, 2023 | 27.67 Mn |
| Mar 31, 2023 | 23.55 Mn |
| Dec 31, 2022 | 23.61 Mn |
| Sep 30, 2022 | 11.38 Mn |
| Jun 30, 2022 | 12.48 Mn |
| Mar 31, 2022 | 15.12 Mn |
| Dec 31, 2021 | 14.45 Mn |
| Sep 30, 2021 | 22.62 Mn |
API Access
Marpai 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=MRAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=MRAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();