Oatly Group AB (OTLY) Property, Plant & Equipment (Net) (2020 - 2026)
Oatly Group AB's Property, Plant & Equipment (Net) came in at $273.02 million for Q3 2026, down 8.7% from $298.94 million a year earlier and down 3.2% from the prior quarter.
Oatly Group AB (OTLY) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, Oatly Group AB's Property, Plant & Equipment (Net) was $294.69 million, up 0.2% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $294.2 million in FY2024 (-18.3%), $360.29 million in FY2023 (-26.9%), $492.95 million in FY2022 (-3.3%) and $509.65 million in FY2021 (+114.5%).
- The Q3 2026 figure represents the lowest quarterly Property, Plant & Equipment (Net) since Q4 2020.
- Year-over-year, Property, Plant & Equipment (Net) has declined for three consecutive quarters, with an average decline of 9.9% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q4 2021 (growth of 114.5%), and the weakest in Q2 2024 (a decline of 32.1%).
- Business Quant data shows OTLY's Property, Plant & Equipment (Net) at $281.93 million (Q2 2026), $284.15 million (Q1 2026) and $294.69 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 416.85 Bn | 405.33 Bn | 8.45 Bn | 9.49 Bn |
| 2 | Diageo | 246.91 Bn | 229.06 Bn | - | 9.00 Bn |
| 3 | Coca Cola Femsa Sab De Cv | 201.88 Bn | 201.88 Bn | 37.08 Bn | - |
| 4 | Pepsico | 195.70 Bn | 153.66 Bn | 13.75 Bn | 29.73 Bn |
| 5 | Anheuser-Busch InBev | 154.67 Bn | 154.67 Bn | 27,528.00 | - |
| 6 | Monster Beverage | 88.75 Bn | 85.98 Bn | 1.40 Bn | 1.06 Bn |
| 7 | Coca-Cola Europacific Partners | 52.79 Bn | 46.01 Bn | - | 7.23 Bn |
| 8 | Keurig Dr Pepper | 51.16 Bn | 50.63 Bn | 3.53 Bn | 6.09 Bn |
| 9 | Ambev | 43.82 Bn | 28.73 Bn | 2.14 Bn | 4.86 Bn |
| 10 | Oatly Group AB | 253.55 Mn | 63.67 Mn | 82.98 Mn | 273.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 273.02 Mn |
| Jun 30, 2026 | 281.93 Mn |
| Mar 31, 2026 | 284.15 Mn |
| Dec 31, 2025 | 294.69 Mn |
| Sep 30, 2025 | 298.94 Mn |
| Jun 30, 2025 | 304.57 Mn |
| Mar 31, 2025 | 301.54 Mn |
| Dec 31, 2024 | 294.20 Mn |
| Sep 30, 2024 | 352.14 Mn |
| Jun 30, 2024 | 342.47 Mn |
| Mar 31, 2024 | 345.66 Mn |
| Dec 31, 2023 | 360.29 Mn |
| Sep 30, 2023 | 501.92 Mn |
| Jun 30, 2023 | 504.74 Mn |
| Mar 31, 2023 | 505.93 Mn |
| Dec 31, 2022 | 492.95 Mn |
| Sep 30, 2022 | 597.27 Mn |
| Jun 30, 2022 | 598.81 Mn |
| Mar 31, 2022 | 547.13 Mn |
| Dec 31, 2021 | 509.65 Mn |
Oatly Group AB 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=OTLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "OTLY", "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=OTLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();