Oatly Group AB (OTLY) Accumulated Expenses (2020 - 2026)
Oatly Group AB (OTLY) recorded Accumulated Expenses of $125.96 million in Q3 2026, up 15.2% from $109.33 million a year earlier and up 5.5% from the prior quarter.
Oatly Group AB (OTLY) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Oatly Group AB reported Accumulated Expenses of $107.93 million, up 4.1% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 12.5% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $103.72 million in FY2024 (-14.5%), $121.34 million in FY2023 (-1.4%), $123.04 million in FY2022 (+4.7%) and $117.47 million in FY2021 (+95.9%).
- The Q3 2026 figure is the highest quarterly Accumulated Expenses since Q3 2022.
- On a year-over-year basis, Accumulated Expenses has increased for four consecutive quarters, with an average decline of 2.3% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 95.9% in Q4 2021, against a decline of 19.1% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $119.35 million (Q2 2026), $109.92 million (Q1 2026) and $107.93 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 416.85 Bn | 405.33 Bn | 8.45 Bn |
| 2 | Diageo | 246.91 Bn | 229.06 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 |
| 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 |
| 7 | Coca-Cola Europacific Partners | 52.79 Bn | 46.01 Bn | - |
| 8 | Keurig Dr Pepper | 51.16 Bn | 50.63 Bn | 3.53 Bn |
| 9 | Ambev | 43.82 Bn | 28.73 Bn | 2.14 Bn |
| 10 | Oatly Group AB | 253.55 Mn | 63.67 Mn | 82.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 125.96 Mn |
| Jun 30, 2026 | 119.35 Mn |
| Mar 31, 2026 | 109.92 Mn |
| Dec 31, 2025 | 107.93 Mn |
| Sep 30, 2025 | 109.33 Mn |
| Jun 30, 2025 | 112.68 Mn |
| Mar 31, 2025 | 106.36 Mn |
| Dec 31, 2024 | 103.72 Mn |
| Sep 30, 2024 | 123.86 Mn |
| Jun 30, 2024 | 125.21 Mn |
| Mar 31, 2024 | 119.22 Mn |
| Dec 31, 2023 | 121.34 Mn |
| Sep 30, 2023 | 117.16 Mn |
| Jun 30, 2023 | 116.48 Mn |
| Mar 31, 2023 | 117.75 Mn |
| Dec 31, 2022 | 123.04 Mn |
| Sep 30, 2022 | 133.91 Mn |
| Jun 30, 2022 | 144.01 Mn |
| Mar 31, 2022 | 123.29 Mn |
| Dec 31, 2021 | 117.47 Mn |
Oatly Group AB Accumulated Expenses 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=accumulated-expenses&ticker=OTLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=OTLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();