Adma Biologics (ADMA) Total Non-Current Liabilities (2011 - 2025)
Adma Biologics (ADMA) reported Total Non-Current Liabilities of $146.92 million for Q4 2025, up 5.5% from $139.3 million a year earlier and up 6.9% from the prior quarter.
Adma Biologics (ADMA) Total Non-Current Liabilities (2011 - 2025) Analysis & Trends
Dating back to Q4 2011, Adma Biologics' Total Non-Current Liabilities record includes 42 quarters.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $139.3 million in FY2024 (-28.0%), $193.56 million in FY2023 (-1.3%), $196.14 million in FY2022 (+45.6%) and $134.68 million in FY2021 (+12.8%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $121.18 million in Q2 2021 and a high of $199.81 million in Q3 2022.
- Year over year, Total Non-Current Liabilities gained in two of the last eight quarters, with an average decline of 13.0%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2022 (growth of 50.3%); the low point was Q1 2025 (a decline of 30.3%).
- Per Business Quant data, the three quarters before Q4 2025 came in at $137.41 million (Q3 2025), $160.05 million (Q2 2025) and $137.15 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Adma Biologics | 2.56 Bn | 2.14 Bn | 86.28 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 146.92 Mn |
| Sep 30, 2025 | 137.41 Mn |
| Jun 30, 2025 | 160.05 Mn |
| Mar 31, 2025 | 137.15 Mn |
| Dec 31, 2024 | 139.30 Mn |
| Sep 30, 2024 | 158.35 Mn |
| Jun 30, 2024 | 187.74 Mn |
| Mar 31, 2024 | 196.76 Mn |
| Dec 31, 2023 | 193.56 Mn |
| Sep 30, 2023 | 197.13 Mn |
| Jun 30, 2023 | 195.82 Mn |
| Mar 31, 2023 | 194.79 Mn |
| Dec 31, 2022 | 196.14 Mn |
| Sep 30, 2022 | 199.81 Mn |
| Jun 30, 2022 | 182.16 Mn |
| Mar 31, 2022 | 180.71 Mn |
| Dec 31, 2021 | 134.68 Mn |
| Sep 30, 2021 | 135.63 Mn |
| Jun 30, 2021 | 121.18 Mn |
| Mar 31, 2021 | 122.35 Mn |
Adma Biologics 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=ADMA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "ADMA", "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=ADMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();