Phibro Animal Health (PAHC) Change in Accured Expenses (2013 - 2026)
Phibro Animal Health (PAHC) reported Change in Accured Expenses of $28.65 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 9.7% from $26.12 million a year earlier.
Powered by 
Analysis
Phibro Animal Health (PAHC) Change in Accured Expenses (2013 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Phibro Animal Health posted Change in Accured Expenses of $26.35 million, down 44.1% from FY2025.
- Change in Accured Expenses has a five-year compound annual growth rate of 85.8% (FY2021 to FY2026).
- By fiscal year, Change in Accured Expenses came in at $47.16 million in FY2025 (+286.9%), $12.19 million in FY2024, -$5.75 million in FY2023 and $3.15 million in FY2022 (+164.7%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Change in Accured Expenses in data going back to fiscal Q4 2013.
- Year over year, Change in Accured Expenses gained in three of the last four quarters, with growth averaging 84.6%.
- The high point for year-over-year Change in Accured Expenses in five years was fiscal Q3 2022 (growth of 370.2%); the low point was fiscal Q2 2026 (a decline of 55.5%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $361,000 (Q3 2026), $11.03 million (Q2 2026) and -$13.69 million (Q1 2026).
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 | Phibro Animal Health | 1.51 Bn | 1.19 Bn | 134.40 Mn | 28.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.65 Mn |
| Mar 31, 2026 | 361,000.00 |
| Dec 31, 2025 | 11.03 Mn |
| Sep 30, 2025 | -13.69 Mn |
| Jun 30, 2025 | 26.12 Mn |
| Mar 31, 2025 | -199,000.00 |
| Dec 31, 2024 | 24.77 Mn |
| Sep 30, 2024 | -3.52 Mn |
| Jun 30, 2024 | 9.28 Mn |
| Mar 31, 2024 | 530,000.00 |
| Dec 31, 2023 | 8.18 Mn |
| Sep 30, 2023 | -5.80 Mn |
| Jun 30, 2023 | -738,000.00 |
| Mar 31, 2023 | -745,000.00 |
| Dec 31, 2022 | 6.00 Mn |
| Sep 30, 2022 | -10.26 Mn |
| Jun 30, 2022 | -591,000.00 |
| Mar 31, 2022 | 5.75 Mn |
| Dec 31, 2021 | 5.19 Mn |
| Sep 30, 2021 | -7.20 Mn |
API Access
Phibro Animal Health 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=PAHC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=PAHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();