Adma Biologics (ADMA) Other Accumulated Expenses (2011 - 2026)
Adma Biologics (ADMA) posted Other Accumulated Expenses of $4.78 million for Q2 2026, down 72.7% from $17.49 million a year earlier but up 42.5% from the prior quarter.
Adma Biologics (ADMA) Other Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025, Adma Biologics' Other Accumulated Expenses came in at $4.17 million, up 45.9% from FY2024.
- Annual Other Accumulated Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 82.3% (FY2020 to FY2025).
- In prior years, Adma Biologics' Other Accumulated Expenses was $2.86 million in FY2024 (+20.8%), $2.37 million in FY2023 (+31.7%), $1.8 million in FY2022 (+82.9%) and $981,721 in FY2021 (+373.7%).
- Quarterly Other Accumulated Expenses has run from a low of $981,721 in Q4 2021 to a high of $17.49 million in Q2 2025 over five years.
- On a year-over-year basis, Other Accumulated Expenses increased in five of the last eight quarters, with growth averaging 48.3%.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q4 2021, with growth of 373.7%; the weakest was Q2 2026, with a decline of 72.7%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $3.35 million (Q1 2026), $4.17 million (Q4 2025) and $2.56 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Adma Biologics | 2.19 Bn | 1.77 Bn | 86.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.78 Mn |
| Mar 31, 2026 | 3.35 Mn |
| Dec 31, 2025 | 4.17 Mn |
| Sep 30, 2025 | 2.56 Mn |
| Jun 30, 2025 | 17.49 Mn |
| Mar 31, 2025 | 2.05 Mn |
| Dec 31, 2024 | 2.86 Mn |
| Sep 30, 2024 | 3.45 Mn |
| Jun 30, 2024 | 3.78 Mn |
| Mar 31, 2024 | 3.48 Mn |
| Dec 31, 2023 | 2.37 Mn |
| Sep 30, 2023 | 2.61 Mn |
| Jun 30, 2023 | 2.20 Mn |
| Mar 31, 2023 | 2.04 Mn |
| Dec 31, 2022 | 1.80 Mn |
| Sep 30, 2022 | 2.11 Mn |
| Jun 30, 2022 | 3.03 Mn |
| Mar 31, 2022 | 3.09 Mn |
| Dec 31, 2021 | 981,721.00 |
| Sep 30, 2021 | 1.88 Mn |
Adma Biologics Other Accumulated Expenses 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=other-accumulated-expenses&ticker=ADMA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=ADMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();