Crimson Wine (CWGL) Property, Plant & Equipment (Net) (2012 - 2026)
Crimson Wine's Property, Plant & Equipment (Net) came in at $101.16 million for Q2 2026, down 10.2% from $112.7 million a year earlier and down 0.6% from the prior quarter.
Crimson Wine (CWGL) Property, Plant & Equipment (Net) (2012 - 2026) Analysis & Trends
At the end of FY2025, Crimson Wine's Property, Plant & Equipment (Net) was $102.79 million, down 10.2% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of -2.0% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $114.44 million in FY2024 (-1.7%), $116.46 million in FY2023 (+2.7%), $113.42 million in FY2022 (+1.8%) and $111.44 million in FY2021 (-2.0%).
- The Q2 2026 figure represents the lowest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2012.
- Year-over-year, Property, Plant & Equipment (Net) has declined for eight consecutive quarters, with an average decline of 5.0% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q3 2023 (growth of 5.5%), and the weakest in Q2 2026 (a decline of 10.2%).
- Business Quant data shows CWGL's Property, Plant & Equipment (Net) at $101.74 million (Q1 2026), $102.79 million (Q4 2025) and $112.51 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 368.60 Bn | 357.24 Bn | 8.42 Bn | 9.64 Bn |
| 2 | Diageo | 206.17 Bn | 198.57 Bn | - | 9.00 Bn |
| 3 | Coca Cola Femsa Sab De Cv | 179.07 Bn | 179.07 Bn | 2.06 Bn | - |
| 4 | Pepsico | 171.83 Bn | 132.26 Bn | 13.11 Bn | 29.77 Bn |
| 5 | Anheuser-Busch InBev | 131.95 Bn | 100.69 Bn | 9.58 Bn | 23.00 Bn |
| 6 | Monster Beverage | 84.12 Bn | 72.37 Bn | 1.42 Bn | 1.10 Bn |
| 7 | Ambev | 46.97 Bn | 32.99 Bn | 2.06 Bn | 5.07 Bn |
| 8 | Coca-Cola Europacific Partners | 45.38 Bn | 38.63 Bn | - | 7.16 Bn |
| 9 | Keurig Dr Pepper | 41.33 Bn | 41.57 Bn | 3.07 Bn | 6.32 Bn |
| 10 | Crimson Wine | 88.31 Mn | 17.97 Mn | 8.62 Mn | 101.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 101.16 Mn |
| Mar 31, 2026 | 101.74 Mn |
| Dec 31, 2025 | 102.79 Mn |
| Sep 30, 2025 | 112.51 Mn |
| Jun 30, 2025 | 112.70 Mn |
| Mar 31, 2025 | 112.92 Mn |
| Dec 31, 2024 | 114.44 Mn |
| Sep 30, 2024 | 115.44 Mn |
| Jun 30, 2024 | 115.61 Mn |
| Mar 31, 2024 | 115.09 Mn |
| Dec 31, 2023 | 116.46 Mn |
| Sep 30, 2023 | 116.90 Mn |
| Jun 30, 2023 | 114.57 Mn |
| Mar 31, 2023 | 112.89 Mn |
| Dec 31, 2022 | 113.42 Mn |
| Sep 30, 2022 | 110.80 Mn |
| Jun 30, 2022 | 110.40 Mn |
| Mar 31, 2022 | 110.66 Mn |
| Dec 31, 2021 | 111.44 Mn |
| Sep 30, 2021 | 111.41 Mn |
Crimson Wine 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=CWGL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "CWGL", "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=CWGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();