MAIA Biotechnology (MAIA) Total Non-Current Liabilities (2022 - 2026)
MAIA Biotechnology (MAIA) posted Total Non-Current Liabilities of $6.26 million for Q2 2026, up 24.1% from $5.04 million a year earlier but down 1.0% from the prior quarter.
Powered by 
Analysis
MAIA Biotechnology (MAIA) Total Non-Current Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2025, MAIA Biotechnology's Total Non-Current Liabilities came in at $5.84 million, up 52.4% from FY2024.
- Annual Total Non-Current Liabilities shows a three-year compound annual growth rate of 21.3% (FY2022 to FY2025).
- In prior years, MAIA Biotechnology's Total Non-Current Liabilities was $3.83 million in FY2024 (-22.4%), $4.94 million in FY2023 (+51.0%) and $3.27 million in FY2022.
- Quarterly Total Non-Current Liabilities has run from a low of $2.46 million in Q3 2022 to a high of $9.99 million in Q3 2025 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last six quarters, with growth averaging 36.2% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q3 2025, with growth of 176.9%; the weakest was Q4 2024, with a decline of 22.4%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $6.32 million (Q1 2026), $5.84 million (Q4 2025) and $9.99 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.98 Bn | 1,134.57 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 643.66 Bn | 563.53 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 500.95 Bn | 474.06 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 358.08 Bn | 312.45 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 301.84 Bn | 265.83 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 267.25 Bn | 240.94 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 241.42 Bn | 196.81 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 193.09 Bn | 167.28 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 171.63 Bn | 118.27 Bn | 10.94 Bn | 97.04 Bn |
| 10 | MAIA Biotechnology | 68.34 Mn | -13.21 Mn | - | 6.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.26 Mn |
| Mar 31, 2026 | 6.32 Mn |
| Dec 31, 2025 | 5.84 Mn |
| Sep 30, 2025 | 9.99 Mn |
| Jun 30, 2025 | 5.04 Mn |
| Mar 31, 2025 | 5.06 Mn |
| Dec 31, 2024 | 3.83 Mn |
| Sep 30, 2024 | 3.61 Mn |
| Jun 30, 2024 | 3.51 Mn |
| Mar 31, 2024 | 4.91 Mn |
| Dec 31, 2023 | 4.94 Mn |
| Sep 30, 2023 | 4.15 Mn |
| Jun 30, 2023 | 3.27 Mn |
| Mar 31, 2023 | 3.77 Mn |
| Dec 31, 2022 | 3.27 Mn |
| Sep 30, 2022 | 2.46 Mn |
API Access
MAIA Biotechnology 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=MAIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "MAIA", "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=MAIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();