MAIA Biotechnology (MAIA) Total Current Liabilities (2021 - 2026)
MAIA Biotechnology (MAIA) posted Total 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.
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Analysis
MAIA Biotechnology (MAIA) Total Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, MAIA Biotechnology's Total Current Liabilities came in at $5.84 million, up 52.4% from FY2024.
- Annual Total Current Liabilities shows a four-year compound annual growth rate of 28.4% (FY2021 to FY2025).
- In prior years, MAIA Biotechnology's Total Current Liabilities was $3.83 million in FY2024 (-22.4%), $4.94 million in FY2023 (+51.0%), $3.27 million in FY2022 (+52.3%) and $2.15 million in FY2021.
- Quarterly Total Current Liabilities has run from a low of $2.15 million in Q4 2021 to a high of $9.99 million in Q3 2025 over five years.
- On a year-over-year basis, Total 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 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 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 Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 55.46 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 32.65 Bn |
| 10 | MAIA Biotechnology | 68.70 Mn | -12.86 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 |
| Jun 30, 2022 | 3.10 Mn |
| Dec 31, 2021 | 2.15 Mn |
API Access
MAIA Biotechnology 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=MAIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=MAIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();