Adma Biologics (ADMA) Change in Inventory (2011 - 2026)
Adma Biologics (ADMA) posted Change in Inventory of $17.22 million for Q2 2026, down 10.7% from $19.28 million a year earlier but up 10.1% from the prior quarter.
Adma Biologics (ADMA) Change in Inventory (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Inventory at Adma Biologics was $47.85 million, up 310.6% year-over-year; for FY2025, it was $36.23 million.
- Annual Change in Inventory shows a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- In prior years, Adma Biologics' Change in Inventory was -$2.67 million in FY2024, $9.63 million in FY2023 (-75.0%), $38.56 million in FY2022 (-10.7%) and $43.19 million in FY2021 (+51.7%).
- Quarterly Change in Inventory has run from a low of -$8.01 million in Q3 2024 to a high of $19.28 million in Q2 2025 over five years.
- On a year-over-year basis, Change in Inventory increased in two of the last four quarters, with growth averaging 364.5%.
- The strongest year-over-year quarter for Change in Inventory in the past five years was Q2 2025, with growth of 827.6%; the weakest was Q4 2022, with a decline of 96.5%.
- According to Business Quant data, Change in Inventory for the three prior quarters was $15.63 million (Q1 2026), $9.8 million (Q4 2025) and $5.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 571.00 Mn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 143.00 Mn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | - |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 31.00 Mn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 145.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 27.70 Mn |
| 10 | Adma Biologics | 2.24 Bn | 1.82 Bn | 86.28 Mn | 17.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.22 Mn |
| Mar 31, 2026 | 15.63 Mn |
| Dec 31, 2025 | 9.80 Mn |
| Sep 30, 2025 | 5.20 Mn |
| Jun 30, 2025 | 19.28 Mn |
| Mar 31, 2025 | 1.95 Mn |
| Dec 31, 2024 | -1.57 Mn |
| Sep 30, 2024 | -8.01 Mn |
| Jun 30, 2024 | 2.08 Mn |
| Mar 31, 2024 | 4.83 Mn |
| Dec 31, 2023 | 9.79 Mn |
| Sep 30, 2023 | 1.34 Mn |
| Jun 30, 2023 | -2.21 Mn |
| Mar 31, 2023 | 705,000.00 |
| Dec 31, 2022 | 366,457.00 |
| Sep 30, 2022 | 16.84 Mn |
| Jun 30, 2022 | 6.93 Mn |
| Mar 31, 2022 | 14.42 Mn |
| Dec 31, 2021 | 10.60 Mn |
| Sep 30, 2021 | 14.42 Mn |
Adma Biologics Change in Inventory 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-inventory&ticker=ADMA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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-inventory&ticker=ADMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();