Perrigo (PRGO) Operating Expenses (2012 - 2026)
Perrigo (PRGO) reported Operating Expenses of $290.5 million for Q2 2026, down 8.5% from $317.5 million a year earlier and down 58.4% from the prior quarter.
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Analysis
Perrigo (PRGO) Operating Expenses (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Perrigo's Operating Expenses came in at $2.94 billion, up 133.8% year-over-year; for FY2025, it was $2.62 billion, up 83.0% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 16.3% (FY2020 to FY2025).
- By year, Operating Expenses came in at $1.43 billion in FY2024 (-6.5%), $1.53 billion in FY2023 (+11.0%), $1.38 billion in FY2022 (+36.9%) and $1.01 billion in FY2021 (-18.2%).
- The Q2 2026 figure ranks as the lowest quarterly Operating Expenses since Q4 2024.
- Year over year, Operating Expenses gained in two of the last eight quarters, with growth averaging 63.5%.
- The high point for year-over-year Operating Expenses in five years was Q4 2025 (growth of 507.0%); the low point was Q4 2024 (a decline of 38.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $697.8 million (Q1 2026), $1.65 billion (Q4 2025) and $304.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 367.14 Bn | 322.89 Bn | 10.28 Bn | 6.33 Bn |
| 2 | Colgate Palmolive | 74.80 Bn | 69.53 Bn | 3.30 Bn | 2.13 Bn |
| 3 | Estee Lauder Companies | 37.60 Bn | 25.67 Bn | 2.74 Bn | 2.78 Bn |
| 4 | Kenvue | 36.63 Bn | 32.25 Bn | 2.30 Bn | 1.60 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 | 252.20 Mn |
| 7 | Clorox | 10.33 Bn | 8.61 Bn | 804.00 Mn | 330.00 Mn |
| 8 | e.l.f. Beauty | 6.73 Bn | 5.71 Bn | 398.84 Mn | 280.32 Mn |
| 9 | Reynolds Consumer Products | 4.77 Bn | 4.44 Bn | 245.00 Mn | 107.00 Mn |
| 10 | Perrigo | 2.21 Bn | 493.59 Mn | 313.90 Mn | 290.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 290.50 Mn |
| Mar 28, 2026 | 697.80 Mn |
| Dec 31, 2025 | 1.65 Bn |
| Sep 27, 2025 | 304.50 Mn |
| Jun 28, 2025 | 317.50 Mn |
| Mar 29, 2025 | 345.40 Mn |
| Dec 31, 2024 | 271.70 Mn |
| Sep 28, 2024 | 324.00 Mn |
| Jun 29, 2024 | 421.20 Mn |
| Mar 30, 2024 | 412.90 Mn |
| Dec 31, 2023 | 442.90 Mn |
| Sep 30, 2023 | 349.10 Mn |
| Jul 1, 2023 | 371.20 Mn |
| Apr 1, 2023 | 365.30 Mn |
| Dec 31, 2022 | 351.60 Mn |
| Oct 1, 2022 | 329.80 Mn |
| Jul 2, 2022 | 379.00 Mn |
| Apr 2, 2022 | 316.10 Mn |
| Dec 31, 2021 | 315.70 Mn |
| Oct 2, 2021 | -101.90 Mn |
API Access
Perrigo 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=PRGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=PRGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();