Adma Biologics (ADMA) Operating Expenses (2011 - 2026)
Adma Biologics (ADMA) posted Operating Expenses of $33.83 million for Q2 2026, up 38.5% from $24.43 million a year earlier and up 50.5% from the prior quarter.
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Analysis
Adma Biologics (ADMA) Operating Expenses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Adma Biologics was $106.99 million, up 11.8% year-over-year; for FY2025, it was $101.32 million, up 25.8% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 17.2% (FY2020 to FY2025).
- In prior years, Adma Biologics' Operating Expenses was $80.57 million in FY2024 (+19.7%), $67.31 million in FY2023 (-9.8%), $74.63 million in FY2022 (+25.3%) and $59.55 million in FY2021 (+29.9%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q1 2011.
- On a year-over-year basis, Operating Expenses increased in seven of the last eight quarters, with growth averaging 26.3%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2025, with growth of 51.7%; the weakest was Q3 2021, with a decline of 38.4%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $22.48 million (Q1 2026), $26.07 million (Q4 2025) and $24.61 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Adma Biologics | 2.28 Bn | 1.86 Bn | 86.28 Mn | 33.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.83 Mn |
| Mar 31, 2026 | 22.48 Mn |
| Dec 31, 2025 | 26.07 Mn |
| Sep 30, 2025 | 24.61 Mn |
| Jun 30, 2025 | 24.43 Mn |
| Mar 31, 2025 | 26.22 Mn |
| Dec 31, 2024 | 25.01 Mn |
| Sep 30, 2024 | 20.02 Mn |
| Jun 30, 2024 | 18.25 Mn |
| Mar 31, 2024 | 17.29 Mn |
| Dec 31, 2023 | 16.85 Mn |
| Sep 30, 2023 | 15.97 Mn |
| Jun 30, 2023 | 17.16 Mn |
| Mar 31, 2023 | 17.33 Mn |
| Dec 31, 2022 | 20.24 Mn |
| Sep 30, 2022 | 18.97 Mn |
| Jun 30, 2022 | 16.94 Mn |
| Mar 31, 2022 | 18.48 Mn |
| Dec 31, 2021 | 16.70 Mn |
| Sep 30, 2021 | 14.82 Mn |
API Access
Adma Biologics Operating 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=operating-expenses&ticker=ADMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=ADMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();