Oatly Group AB (OTLY) Total Current Liabilities (2020 - 2026)
Oatly Group AB's Total Current Liabilities was $7.69 million in Q3 2026, down 54.8% from $17.02 million a year earlier and down 98.7% from the prior quarter.
Oatly Group AB (OTLY) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Oatly Group AB came in at $557.32 million, up 4.2% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 19.5% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $535.06 million in FY2024 (-8.3%), $583.66 million in FY2023 (+70.7%), $341.91 million in FY2022 (+40.5%) and $243.39 million in FY2021 (+6.4%).
- The Q3 2026 figure marks the lowest quarterly Total Current Liabilities since Q3 2024.
- Compared with a year earlier, Total Current Liabilities was higher in four of the last seven quarters, with growth averaging 4.6%.
- The best year-over-year quarter for Total Current Liabilities over five years was Q3 2025 (growth of 147.3%); the worst was Q1 2023 (a decline of 99.1%).
- Per Business Quant data, OTLY's Total Current Liabilities in the three quarters before Q3 2026 was $574.88 million (Q2 2026), $15.89 million (Q1 2026) and $557.32 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 413.22 Bn | 399.53 Bn | 8.45 Bn | 24.21 Bn |
| 2 | Diageo | 224.45 Bn | 204.52 Bn | - | 10.73 Bn |
| 3 | Coca Cola Femsa Sab De Cv | 196.49 Bn | 189.17 Bn | - | 3.71 Bn |
| 4 | Pepsico | 192.84 Bn | 150.60 Bn | 13.75 Bn | 34.53 Bn |
| 5 | Anheuser-Busch InBev | 148.28 Bn | 110.64 Bn | - | 33.48 Bn |
| 6 | Monster Beverage | 88.63 Bn | 76.88 Bn | 1.42 Bn | 1.72 Bn |
| 7 | Coca-Cola Europacific Partners | 53.10 Bn | 46.73 Bn | - | 8.91 Bn |
| 8 | Keurig Dr Pepper | 50.04 Bn | 46.09 Bn | 3.07 Bn | 19.74 Bn |
| 9 | Ambev | 43.10 Bn | 28.94 Bn | - | 8.33 Bn |
| 10 | Oatly Group AB | 249.85 Mn | -26.00 Mn | 81.36 Mn | 574.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.69 Mn |
| Jun 30, 2026 | 574.88 Mn |
| Mar 31, 2026 | 15.89 Mn |
| Dec 31, 2025 | 557.32 Mn |
| Sep 30, 2025 | 17.02 Mn |
| Jun 30, 2025 | 551.77 Mn |
| Mar 31, 2025 | 15.61 Mn |
| Dec 31, 2024 | 535.06 Mn |
| Sep 30, 2024 | 6.88 Mn |
| Jun 30, 2024 | 8.85 Mn |
| Mar 31, 2024 | 41.18 Mn |
| Dec 31, 2023 | 583.66 Mn |
| Sep 30, 2023 | 14.17 Mn |
| Jun 30, 2023 | 6.54 Mn |
| Mar 31, 2023 | 2.23 Mn |
| Dec 31, 2022 | 341.91 Mn |
| Sep 30, 2022 | 236.87 Mn |
| Jun 30, 2022 | 280.26 Mn |
| Mar 31, 2022 | 240.11 Mn |
| Dec 31, 2021 | 243.39 Mn |
Oatly Group AB Total Current Liabilities 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=total-current-liabilities&ticker=OTLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=OTLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();