Perrigo (PRGO) Other Accumulated Expenses (2014 - 2026)
Perrigo (PRGO) recorded Other Accumulated Expenses of $275.8 million in Q3 2026, up 3.9% from the prior quarter.
Analysis
Perrigo (PRGO) Other Accumulated Expenses (2014 - 2026) Analysis & Trends
At the end of FY2025, Perrigo reported Other Accumulated Expenses of $216.1 million, down 9.5% from FY2024.
- Across earlier years, Other Accumulated Expenses came in at $238.7 million in FY2024 (-28.8%) and $335.4 million in FY2023.
- The Q3 2026 figure is the highest quarterly Other Accumulated Expenses since Q4 2023.
- Per Business Quant, the preceding three quarters came in at $265.4 million (Q2 2026), $234.7 million (Q1 2026) and $216.1 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 393.58 Bn | 345.38 Bn | 11.60 Bn |
| 2 | Colgate Palmolive | 79.23 Bn | 74.06 Bn | 3.23 Bn |
| 3 | Estee Lauder Companies | 40.61 Bn | 27.71 Bn | 2.81 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn |
| 5 | Kimberly Clark | 36.40 Bn | 32.48 Bn | 1.44 Bn |
| 6 | Church & Dwight | 26.67 Bn | 25.06 Bn | 749.40 Mn |
| 7 | Clorox | 13.24 Bn | 11.66 Bn | 770.00 Mn |
| 8 | e.l.f. Beauty | 6.97 Bn | 5.79 Bn | 370.22 Mn |
| 9 | Reynolds Consumer Products | 5.22 Bn | 4.91 Bn | 236.00 Mn |
| 10 | Perrigo | 2.26 Bn | -5.41 Mn | 320.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 275.80 Mn |
| Jun 27, 2026 | 265.40 Mn |
| Mar 28, 2026 | 234.70 Mn |
| Dec 31, 2025 | 216.10 Mn |
| Dec 31, 2024 | 238.70 Mn |
| Dec 31, 2023 | 335.40 Mn |
| Sep 27, 2014 | -23.61 Bn |
| Jun 28, 2014 | -20.90 Bn |
API Access
Perrigo Other Accumulated 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=other-accumulated-expenses&ticker=PRGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "PRGO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=PRGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();