Vita Coco Company (COCO) Total Liabilities (2020 - 2026)
Vita Coco Company (COCO) reported Total Liabilities of $172.04 million for Q2 2026, up 38.6% from $124.14 million a year earlier and up 26.3% from the prior quarter.
Vita Coco Company (COCO) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Vita Coco Company posted Total Liabilities of $129.62 million, up 25.2% from FY2024.
- Total Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 9.7% (FY2020 to FY2025).
- By year, Total Liabilities came in at $103.56 million in FY2024 (+24.4%), $83.25 million in FY2023 (+46.9%), $56.66 million in FY2022 (-23.7%) and $74.31 million in FY2021 (-8.9%).
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities in data going back to Q4 2020.
- Year over year, Total Liabilities has now increased in each of the last 11 quarters, with growth averaging 32.0% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q4 2023 (growth of 46.9%); the low point was Q3 2022 (a decline of 28.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $136.17 million (Q1 2026), $129.62 million (Q4 2025) and $137.56 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 395.88 Bn | 382.35 Bn | 8.42 Bn | 69.61 Bn |
| 2 | Coca Cola Femsa Sab De Cv | 193.50 Bn | 193.50 Bn | 2.06 Bn | - |
| 3 | Pepsico | 175.26 Bn | 133.02 Bn | 13.75 Bn | 89.49 Bn |
| 4 | Monster Beverage | 88.72 Bn | 76.97 Bn | 1.42 Bn | 2.02 Bn |
| 5 | Diageo | 52.28 Bn | 32.35 Bn | - | 33.89 Bn |
| 6 | Ambev | 50.60 Bn | 35.89 Bn | 2.06 Bn | 9.52 Bn |
| 7 | Coca-Cola Europacific Partners | 50.03 Bn | 42.70 Bn | - | 25.89 Bn |
| 8 | Keurig Dr Pepper | 46.25 Bn | 42.30 Bn | 3.07 Bn | 58.39 Bn |
| 9 | Constellation Brands | 22.09 Bn | 21.64 Bn | 1.39 Bn | 13.18 Bn |
| 10 | Vita Coco Company | 3.31 Bn | 2.43 Bn | 105.31 Mn | 172.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 172.04 Mn |
| Mar 31, 2026 | 136.17 Mn |
| Dec 31, 2025 | 129.62 Mn |
| Sep 30, 2025 | 137.56 Mn |
| Jun 30, 2025 | 124.14 Mn |
| Mar 31, 2025 | 106.11 Mn |
| Dec 31, 2024 | 103.56 Mn |
| Sep 30, 2024 | 101.03 Mn |
| Jun 30, 2024 | 91.03 Mn |
| Mar 31, 2024 | 79.35 Mn |
| Dec 31, 2023 | 83.25 Mn |
| Sep 30, 2023 | 75.88 Mn |
| Jun 30, 2023 | 73.62 Mn |
| Mar 31, 2023 | 57.91 Mn |
| Dec 31, 2022 | 56.66 Mn |
| Sep 30, 2022 | 76.77 Mn |
| Jun 30, 2022 | 87.28 Mn |
| Mar 31, 2022 | 70.65 Mn |
| Dec 31, 2021 | 74.31 Mn |
| Sep 30, 2021 | 106.70 Mn |
Vita Coco Company Total 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-liabilities&ticker=COCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "COCO", "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-liabilities&ticker=COCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();