Phibro Animal Health (PAHC) Total Liabilities (2013 - 2026)
Phibro Animal Health (PAHC) posted Total Liabilities of $1.12 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 3.8% from $1.08 billion a year earlier and up 3.0% from the prior quarter.
Phibro Animal Health (PAHC) Total Liabilities (2013 - 2026) Analysis & Trends
Since fiscal Q4 2013, Phibro Animal Health has reported Total Liabilities for 51 quarters.
- Annual Total Liabilities has increased for nine consecutive fiscal years, with a five-year compound annual growth rate of 13.1% (FY2021 to FY2026).
- In prior fiscal years, Phibro Animal Health's Total Liabilities was $1.08 billion in FY2025 (+48.2%), $725.54 million in FY2024 (+5.3%), $688.89 million in FY2023 (+2.9%) and $669.26 million in FY2022 (+11.0%).
- The fiscal Q4 2026 figure stands as the highest quarterly Total Liabilities in data going back to fiscal Q4 2013.
- On a year-over-year basis, Total Liabilities has increased in each of the last 30 quarters, with growth averaging 26.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Liabilities ranged from 0.9% (fiscal Q1 2024) to 51.7% (fiscal Q1 2026).
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $1.08 billion (Q3 2026), $1.07 billion (Q2 2026) and $1.07 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Phibro Animal Health | 1.45 Bn | 1.13 Bn | 134.40 Mn | 1.12 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.12 Bn |
| Mar 31, 2026 | 1.08 Bn |
| Dec 31, 2025 | 1.07 Bn |
| Sep 30, 2025 | 1.07 Bn |
| Jun 30, 2025 | 1.08 Bn |
| Mar 31, 2025 | 1.05 Bn |
| Dec 31, 2024 | 1.04 Bn |
| Sep 30, 2024 | 707.76 Mn |
| Jun 30, 2024 | 725.54 Mn |
| Mar 31, 2024 | 708.94 Mn |
| Dec 31, 2023 | 701.91 Mn |
| Sep 30, 2023 | 691.45 Mn |
| Jun 30, 2023 | 688.89 Mn |
| Mar 31, 2023 | 693.10 Mn |
| Dec 31, 2022 | 693.46 Mn |
| Sep 30, 2022 | 685.62 Mn |
| Jun 30, 2022 | 669.26 Mn |
| Mar 31, 2022 | 649.24 Mn |
| Dec 31, 2021 | 609.66 Mn |
| Sep 30, 2021 | 602.74 Mn |
Phibro Animal Health Total Liabilities 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=total-liabilities&ticker=PAHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=PAHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();