Oatly Group AB (OTLY) Selling, General & Administrative (2020 - 2026)
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Analysis
Oatly Group AB (OTLY) Selling, General & Administrative (2020 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 416.85 Bn | 405.33 Bn | 8.45 Bn | 3.98 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 | 9.49 Bn |
| 5 | Anheuser-Busch InBev | 154.67 Bn | 154.67 Bn | 27,528.00 | 11.48 Bn |
| 6 | Monster Beverage | 88.75 Bn | 85.98 Bn | 1.40 Bn | - |
| 7 | Coca-Cola Europacific Partners | 52.79 Bn | 46.01 Bn | - | 1.63 Bn |
| 8 | Keurig Dr Pepper | 51.16 Bn | 50.63 Bn | 3.53 Bn | 2.14 Bn |
| 9 | Ambev | 43.82 Bn | 28.73 Bn | 2.14 Bn | 281.32 Mn |
| 10 | Oatly Group AB | 253.55 Mn | 63.67 Mn | 82.98 Mn | 85.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 85.32 Mn |
| Jun 30, 2026 | 94.68 Mn |
| Mar 31, 2026 | 83.47 Mn |
| Dec 31, 2025 | 83.89 Mn |
| Sep 30, 2025 | 75.15 Mn |
| Jun 30, 2025 | 84.11 Mn |
| Mar 31, 2025 | 77.50 Mn |
| Dec 31, 2024 | 81.97 Mn |
| Sep 30, 2024 | 79.74 Mn |
| Jun 30, 2024 | 84.26 Mn |
| Mar 31, 2024 | 78.74 Mn |
| Dec 31, 2023 | 80.72 Mn |
| Sep 30, 2023 | 87.13 Mn |
| Jun 30, 2023 | 106.70 Mn |
| Mar 31, 2023 | 98.86 Mn |
| Dec 31, 2022 | 107.90 Mn |
| Sep 30, 2022 | 103.77 Mn |
| Jun 30, 2022 | 97.06 Mn |
| Mar 31, 2022 | 104.07 Mn |
| Dec 31, 2021 | 118.90 Mn |
API Access
Oatly Group AB Selling, General & Administrative 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=selling-general-and-administrative&ticker=OTLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=OTLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();