Freshpet (FRPT) Property, Plant & Equipment (Net) (2013 - 2026)
Freshpet (FRPT) reported Property, Plant & Equipment (Net) of $1.15 billion for Q2 2026, up 4.1% from $1.1 billion a year earlier and up 0.2% from the prior quarter.
Freshpet (FRPT) Property, Plant & Equipment (Net) (2013 - 2026) Analysis & Trends
At the end of FY2025, Freshpet posted Property, Plant & Equipment (Net) of $1.14 billion, up 6.8% from FY2024.
- Property, Plant & Equipment (Net) has increased for eight consecutive years, with a five-year compound annual growth rate of 32.3% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $1.07 billion in FY2024 (+8.9%), $979.16 million in FY2023 (+22.3%), $800.59 million in FY2022 (+37.1%) and $583.92 million in FY2021 (+107.7%).
- The Q2 2026 figure ranks as the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2013.
- Year over year, Property, Plant & Equipment (Net) has now increased in each of the last 33 quarters, with growth averaging 7.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Property, Plant & Equipment (Net) ran from 4.1% in Q2 2026 to 107.7% in Q4 2021.
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.14 billion (Q1 2026), $1.14 billion (Q4 2025) and $1.11 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | 10.88 Bn |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 10.65 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 3.48 Bn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | 7.20 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 3.38 Bn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 3.02 Bn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 1.54 Bn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 2.16 Bn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 624.80 Mn |
| 10 | Freshpet | 2.93 Bn | 1.65 Bn | 128.69 Mn | 1.15 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.15 Bn |
| Mar 31, 2026 | 1.14 Bn |
| Dec 31, 2025 | 1.14 Bn |
| Sep 30, 2025 | 1.11 Bn |
| Jun 30, 2025 | 1.10 Bn |
| Mar 31, 2025 | 1.08 Bn |
| Dec 31, 2024 | 1.07 Bn |
| Sep 30, 2024 | 1.04 Bn |
| Jun 30, 2024 | 1.03 Bn |
| Mar 31, 2024 | 1.01 Bn |
| Dec 31, 2023 | 979.16 Mn |
| Sep 30, 2023 | 924.72 Mn |
| Jun 30, 2023 | 865.24 Mn |
| Mar 31, 2023 | 826.15 Mn |
| Dec 31, 2022 | 800.59 Mn |
| Sep 30, 2022 | 719.44 Mn |
| Jun 30, 2022 | 662.53 Mn |
| Mar 31, 2022 | 663.84 Mn |
| Dec 31, 2021 | 583.92 Mn |
| Sep 30, 2021 | 471.96 Mn |
Freshpet 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=FRPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "FRPT", "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=FRPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();