Marpai (MRAI) Total Non-Current Liabilities (2021 - 2026)
Marpai (MRAI) reported Total Non-Current Liabilities of $21.79 million for Q3 2026, down 27.2% from $29.93 million a year earlier and down 27.5% 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.
- The Q3 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities since Q3 2022.
- Year over year, Total Non-Current Liabilities gained in five of the last eight quarters, with growth averaging 6.6%.
- 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 Q3 2026 came in at $30.05 million (Q2 2026), $34.26 million (Q1 2026) and $32.02 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unitedhealth | 365.22 Bn | 251.88 Bn | 35.71 Bn | 188.49 Bn |
| 2 | Mckesson | 127.33 Bn | 111.26 Bn | 3.96 Bn | 88.87 Bn |
| 3 | Cvs Health | 114.34 Bn | 63.29 Bn | 47.21 Bn | 171.11 Bn |
| 4 | Elevance Health | 92.86 Bn | -49.61 Bn | 13.65 Bn | 78.53 Bn |
| 5 | Cigna | 78.25 Bn | 47.45 Bn | 15.09 Bn | 100.70 Bn |
| 6 | Cencora | 68.51 Bn | 68.51 Bn | 3.60 Bn | - |
| 7 | Cardinal Health | 64.97 Bn | 48.29 Bn | 2.60 Bn | - |
| 8 | Humana | 54.10 Bn | -36.68 Bn | 4.83 Bn | 35.61 Bn |
| 9 | Centene | 35.04 Bn | -39.00 Bn | 8.24 Bn | 54.93 Bn |
| 10 | Marpai | 51.68 Mn | 50.85 Mn | 1.02 Mn | 21.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 21.79 Mn |
| 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 |
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();