Perrigo (PRGO) Selling, General & Administrative (2012 - 2026)
Perrigo's Selling, General & Administrative was $100 million in Q2 2026, down 11.5% from $113 million a year earlier and down 13.0% from the prior quarter.
Perrigo (PRGO) Selling, General & Administrative (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Perrigo's Selling, General & Administrative was $425.7 million through Jun 27, 2026, down 2.5% year-over-year; for FY2025, it came in at $435.9 million, down 6.9% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of -1.8% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $468 million in FY2024 (-10.4%), $522.3 million in FY2023 (+2.0%), $512.3 million in FY2022 (+6.3%) and $482 million in FY2021 (+0.7%).
- Quarterly Selling, General & Administrative has moved between $94.2 million (Q3 2025) and $157.8 million (Q2 2022) over five years.
- Compared with a year earlier, Selling, General & Administrative was higher in two of the last eight quarters, with an average decline of 7.9%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q2 2022 (growth of 42.9%); the worst was Q4 2024 (a decline of 26.4%).
- Per Business Quant data, PRGO's Selling, General & Administrative in the three quarters before Q2 2026 was $115 million (Q1 2026), $116.5 million (Q4 2025) and $94.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 334.70 Bn | 290.68 Bn | 10.28 Bn | 6.33 Bn |
| 2 | Colgate Palmolive | 67.39 Bn | 62.44 Bn | 3.30 Bn | 2.13 Bn |
| 3 | Kenvue | 33.10 Bn | 28.72 Bn | 2.30 Bn | 1.54 Bn |
| 4 | Estee Lauder Companies | 32.68 Bn | 20.76 Bn | 2.74 Bn | 2.48 Bn |
| 5 | Kimberly Clark | 31.38 Bn | 28.70 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 22.32 Bn | 20.85 Bn | 693.90 Mn | 252.20 Mn |
| 7 | Clorox | 9.75 Bn | 8.19 Bn | 804.00 Mn | 298.00 Mn |
| 8 | e.l.f. Beauty | 6.14 Bn | 5.11 Bn | 398.84 Mn | 280.32 Mn |
| 9 | Reynolds Consumer Products | 4.62 Bn | 4.29 Bn | 245.00 Mn | 107.00 Mn |
| 10 | Perrigo | 1.94 Bn | 223.97 Mn | 313.90 Mn | 100.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 100.00 Mn |
| Mar 28, 2026 | 115.00 Mn |
| Dec 31, 2025 | 116.50 Mn |
| Sep 27, 2025 | 94.20 Mn |
| Jun 28, 2025 | 113.00 Mn |
| Mar 29, 2025 | 112.20 Mn |
| Dec 31, 2024 | 94.70 Mn |
| Sep 28, 2024 | 116.90 Mn |
| Jun 29, 2024 | 126.10 Mn |
| Mar 30, 2024 | 130.40 Mn |
| Dec 31, 2023 | 128.70 Mn |
| Sep 30, 2023 | 126.00 Mn |
| Jul 1, 2023 | 132.60 Mn |
| Apr 1, 2023 | 135.00 Mn |
| Dec 31, 2022 | 126.30 Mn |
| Oct 1, 2022 | 105.90 Mn |
| Jul 2, 2022 | 157.80 Mn |
| Apr 2, 2022 | 122.30 Mn |
| Dec 31, 2021 | 113.90 Mn |
| Oct 2, 2021 | 130.60 Mn |
Perrigo Selling, General & Administrative 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=selling-general-and-administrative&ticker=PRGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=PRGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();