Phibro Animal Health (PAHC) Operating Expenses (2012 - 2026)
Phibro Animal Health (PAHC) posted Operating Expenses of $94.31 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 22.9% from $76.74 million a year earlier and up 16.2% from the prior quarter.
Phibro Animal Health (PAHC) Operating Expenses (2012 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Phibro Animal Health's Operating Expenses came in at $326.77 million, up 7.9% from FY2025.
- Annual Operating Expenses has increased for nine consecutive fiscal years, with a five-year compound annual growth rate of 10.7% (FY2021 to FY2026).
- In prior fiscal years, Phibro Animal Health's Operating Expenses was $302.8 million in FY2025 (+13.8%), $266.18 million in FY2024 (+17.6%), $226.39 million in FY2023 (+9.7%) and $206.41 million in FY2022 (+5.0%).
- The fiscal Q4 2026 figure stands as the highest quarterly Operating Expenses in data going back to fiscal Q1 2013.
- On a year-over-year basis, Operating Expenses increased in six of the last eight quarters, with growth averaging 12.6%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q2 2025, with growth of 35.3%; the weakest was fiscal Q4 2023, with a decline of 4.7%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $81.15 million (Q3 2026), $82.52 million (Q2 2026) and $68.78 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Phibro Animal Health | 1.44 Bn | 1.12 Bn | 134.40 Mn | 94.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 94.31 Mn |
| Mar 31, 2026 | 81.15 Mn |
| Dec 31, 2025 | 82.52 Mn |
| Sep 30, 2025 | 68.78 Mn |
| Jun 30, 2025 | 76.74 Mn |
| Mar 31, 2025 | 71.69 Mn |
| Dec 31, 2024 | 85.15 Mn |
| Sep 30, 2024 | 69.22 Mn |
| Jun 30, 2024 | 68.73 Mn |
| Mar 31, 2024 | 59.68 Mn |
| Dec 31, 2023 | 62.92 Mn |
| Sep 30, 2023 | 68.45 Mn |
| Jun 30, 2023 | 52.90 Mn |
| Mar 31, 2023 | 56.99 Mn |
| Dec 31, 2022 | 61.54 Mn |
| Sep 30, 2022 | 54.96 Mn |
| Jun 30, 2022 | 55.54 Mn |
| Mar 31, 2022 | 52.43 Mn |
| Dec 31, 2021 | 48.38 Mn |
| Sep 30, 2021 | 50.07 Mn |
Phibro Animal Health 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=PAHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PAHC", "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=PAHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();