Perrigo (PRGO) Property, Plant & Equipment (Net) (2013 - 2026)
Perrigo's Property, Plant & Equipment (Net) was $825.1 million in Q3 2026, down 8.6% from $902.8 million a year earlier and down 2.8% from the prior quarter.
Perrigo (PRGO) Property, Plant & Equipment (Net) (2013 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Perrigo came in at $898.7 million, down 2.1% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 0.8% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $917.8 million in FY2024 (+0.2%), $916.4 million in FY2023 (-1.1%), $926.3 million in FY2022 (+7.2%) and $864.1 million in FY2021 (-0.1%).
- The Q3 2026 figure marks the lowest quarterly Property, Plant & Equipment (Net) since Q4 2019.
- Compared with a year earlier, Property, Plant & Equipment (Net) has declined for five straight quarters, with an average decline of 2.7% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q2 2023 (growth of 9.3%); the worst was Q3 2026 (a decline of 8.6%).
- Per Business Quant data, PRGO's Property, Plant & Equipment (Net) in the three quarters before Q3 2026 was $849 million (Q2 2026), $877.7 million (Q1 2026) and $898.7 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 393.58 Bn | 345.38 Bn | 11.60 Bn | 25.52 Bn |
| 2 | Colgate Palmolive | 79.23 Bn | 74.06 Bn | 3.23 Bn | 4.61 Bn |
| 3 | Estee Lauder Companies | 40.61 Bn | 27.71 Bn | 2.81 Bn | 2.71 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 2.23 Bn |
| 5 | Kimberly Clark | 36.40 Bn | 32.48 Bn | 1.44 Bn | 7.07 Bn |
| 6 | Church & Dwight | 26.67 Bn | 25.06 Bn | 749.40 Mn | 834.80 Mn |
| 7 | Clorox | 13.24 Bn | 11.66 Bn | 770.00 Mn | 1.48 Bn |
| 8 | e.l.f. Beauty | 6.97 Bn | 5.79 Bn | 370.22 Mn | 37.74 Mn |
| 9 | Reynolds Consumer Products | 5.22 Bn | 4.91 Bn | 236.00 Mn | 862.00 Mn |
| 10 | Perrigo | 2.26 Bn | -5.41 Mn | 320.80 Mn | 825.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 825.10 Mn |
| Jun 27, 2026 | 849.00 Mn |
| Mar 28, 2026 | 877.70 Mn |
| Dec 31, 2025 | 898.70 Mn |
| Sep 27, 2025 | 902.80 Mn |
| Jun 28, 2025 | 913.90 Mn |
| Mar 29, 2025 | 913.20 Mn |
| Dec 31, 2024 | 917.80 Mn |
| Sep 28, 2024 | 909.10 Mn |
| Jun 29, 2024 | 909.90 Mn |
| Mar 30, 2024 | 911.40 Mn |
| Dec 31, 2023 | 916.40 Mn |
| Sep 30, 2023 | 902.90 Mn |
| Jul 1, 2023 | 918.30 Mn |
| Apr 1, 2023 | 919.30 Mn |
| Dec 31, 2022 | 926.30 Mn |
| Oct 1, 2022 | 839.90 Mn |
| Jul 2, 2022 | 840.30 Mn |
| Apr 2, 2022 | 846.30 Mn |
| Dec 31, 2021 | 864.10 Mn |
Perrigo Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=PRGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=PRGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();