Ani Pharmaceuticals (ANIP) Operating Expenses (2010 - 2026)
Ani Pharmaceuticals (ANIP) reported Operating Expenses of $225.58 million for Q2 2026, up 14.2% from $197.48 million a year earlier and up 13.6% from the prior quarter.
Ani Pharmaceuticals (ANIP) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ani Pharmaceuticals' Operating Expenses came in at $828.02 million, up 13.1% year-over-year; for FY2025, it came in at $772.27 million, up 25.8% from FY2024.
- Operating Expenses has increased for 13 consecutive years, with a five-year compound annual growth rate of 28.0% (FY2020 to FY2025).
- By year, Operating Expenses came in at $613.79 million in FY2024 (+39.5%), $439.85 million in FY2023 (+25.1%), $351.67 million in FY2022 (+37.4%) and $255.93 million in FY2021 (+14.0%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses in data going back to Q2 2010.
- Year over year, Operating Expenses has now increased in each of the last 21 quarters, with growth averaging 31.5% over the last eight quarters.
- The year-over-year growth in Operating Expenses has ranged between 8.9% (Q4 2025) and 62.5% (Q1 2022) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $198.57 million (Q1 2026), $212.29 million (Q4 2025) and $191.57 million (Q3 2025).
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 | Ani Pharmaceuticals | 1.78 Bn | 565.34 Mn | 165.89 Mn | 225.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 225.58 Mn |
| Mar 31, 2026 | 198.57 Mn |
| Dec 31, 2025 | 212.29 Mn |
| Sep 30, 2025 | 191.57 Mn |
| Jun 30, 2025 | 197.48 Mn |
| Mar 31, 2025 | 170.93 Mn |
| Dec 31, 2024 | 194.95 Mn |
| Sep 30, 2024 | 168.85 Mn |
| Jun 30, 2024 | 132.87 Mn |
| Mar 31, 2024 | 117.12 Mn |
| Dec 31, 2023 | 124.93 Mn |
| Sep 30, 2023 | 113.88 Mn |
| Jun 30, 2023 | 104.15 Mn |
| Mar 31, 2023 | 96.89 Mn |
| Dec 31, 2022 | 92.41 Mn |
| Sep 30, 2022 | 88.82 Mn |
| Jun 30, 2022 | 86.77 Mn |
| Mar 31, 2022 | 83.67 Mn |
| Dec 31, 2021 | 84.65 Mn |
| Sep 30, 2021 | 55.62 Mn |
Ani Pharmaceuticals 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=ANIP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ANIP", "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=ANIP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();