Adma Biologics (ADMA) Change in Accured Expenses (2011 - 2026)
Adma Biologics (ADMA) posted Change in Accured Expenses of -$6.58 million for Q2 2026, compared with -$2.81 million a year earlier.
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Analysis
Adma Biologics (ADMA) Change in Accured Expenses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Adma Biologics was $8.94 million, up 768.8% year-over-year; for FY2025, it was $5.21 million, up 400.2% from FY2024.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- In prior years, Adma Biologics' Change in Accured Expenses was $1.04 million in FY2024 (-86.2%), $7.53 million in FY2023 (-0.1%), $7.53 million in FY2022 (-9.7%) and $8.34 million in FY2021 (+145.2%).
- The Q2 2026 figure stands as the lowest quarterly Change in Accured Expenses in data going back to Q1 2011.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q4 2021, with growth of 258.9%; the weakest was Q3 2023, with a decline of 93.7%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was $5.11 million (Q1 2026), $10.64 million (Q4 2025) and -$221,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (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 | 2.96 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | Adma Biologics | 2.19 Bn | 1.77 Bn | 86.28 Mn | -6.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -6.58 Mn |
| Mar 31, 2026 | 5.11 Mn |
| Dec 31, 2025 | 10.64 Mn |
| Sep 30, 2025 | -221,000.00 |
| Jun 30, 2025 | -2.81 Mn |
| Mar 31, 2025 | -2.40 Mn |
| Dec 31, 2024 | 6.43 Mn |
| Sep 30, 2024 | -191,000.00 |
| Jun 30, 2024 | -5.97 Mn |
| Mar 31, 2024 | 772,000.00 |
| Dec 31, 2023 | 2.66 Mn |
| Sep 30, 2023 | 135,000.00 |
| Jun 30, 2023 | 6.09 Mn |
| Mar 31, 2023 | -1.35 Mn |
| Dec 31, 2022 | 6.87 Mn |
| Sep 30, 2022 | 2.13 Mn |
| Jun 30, 2022 | 313,905.00 |
| Mar 31, 2022 | -1.78 Mn |
| Dec 31, 2021 | 2.81 Mn |
| Sep 30, 2021 | 2.55 Mn |
API Access
Adma Biologics Change in Accured 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=change-in-accured-expenses&ticker=ADMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=ADMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();