Perrigo (PRGO) Accumulated Expenses (2013 - 2025)
Perrigo's Accumulated Expenses was $363.1 million in Q3 2025, up 60.0% from $227 million a year earlier and up 10.7% from the prior quarter.
Analysis
Perrigo (PRGO) Accumulated Expenses (2013 - 2025) Analysis & Trends
At the end of FY2024, Accumulated Expenses at Perrigo came in at $238.7 million, down 28.8% from FY2023.
- Accumulated Expenses shows a five-year compound annual growth rate of 0.8% (FY2019 to FY2024).
- In earlier years, Accumulated Expenses was $335.4 million in FY2023 (+34.1%), $250.2 million in FY2022 (-10.5%), $279.4 million in FY2021 (+52.6%) and $183.1 million in FY2020 (-20.1%).
- The Q3 2025 figure marks the highest quarterly Accumulated Expenses in data going back to Q4 2015.
- Compared with a year earlier, Accumulated Expenses was higher in four of the last eight quarters, with growth averaging 11.0%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q3 2025 (growth of 60.0%); the worst was Q1 2025 (a decline of 29.3%).
- Per Business Quant data, PRGO's Accumulated Expenses in the three quarters before Q3 2025 was $327.9 million (Q2 2025), $253.8 million (Q1 2025) and $238.7 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 367.14 Bn | 322.89 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 74.80 Bn | 69.53 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 37.60 Bn | 25.67 Bn | 2.74 Bn |
| 4 | Kenvue | 36.63 Bn | 32.25 Bn | 2.30 Bn |
| 5 | Kimberly Clark | 35.53 Bn | 32.72 Bn | 1.60 Bn |
| 6 | Church & Dwight | 24.88 Bn | 23.41 Bn | 693.90 Mn |
| 7 | Clorox | 10.33 Bn | 8.61 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.73 Bn | 5.71 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.77 Bn | 4.44 Bn | 245.00 Mn |
| 10 | Perrigo | 2.21 Bn | 493.59 Mn | 313.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2025 | 363.10 Mn |
| Jun 28, 2025 | 327.90 Mn |
| Mar 29, 2025 | 253.80 Mn |
| Dec 31, 2024 | 238.70 Mn |
| Sep 28, 2024 | 227.00 Mn |
| Jun 29, 2024 | 218.50 Mn |
| Mar 30, 2024 | 359.00 Mn |
| Dec 31, 2023 | 335.40 Mn |
| Sep 30, 2023 | 262.30 Mn |
| Jul 1, 2023 | 261.70 Mn |
| Apr 1, 2023 | 272.00 Mn |
| Dec 31, 2022 | 250.20 Mn |
| Oct 1, 2022 | 242.70 Mn |
| Jul 2, 2022 | 240.70 Mn |
| Apr 2, 2022 | 270.80 Mn |
| Dec 31, 2021 | 279.40 Mn |
| Oct 2, 2021 | 339.90 Mn |
| Jul 3, 2021 | 235.50 Mn |
| Apr 3, 2021 | 267.90 Mn |
| Dec 31, 2020 | 183.10 Mn |
API Access
Perrigo 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=accumulated-expenses&ticker=PRGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=PRGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();