Vita Coco Company (COCO) EBT (2020 - 2026)
Vita Coco Company's (COCO) quarterly EBT came in at $64.4 million in Q2 2026, up 128.45% year-over-year from $28.2 million in Q2 2025, and up 71.88% quarter-over-quarter from $37.4 million in Q1 2026.
Vita Coco Company (COCO) EBT (2020 - 2026) Analysis & Trends
Vita Coco Company (COCO) has reported EBT for 7 consecutive years, with $64.4 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, EBT rose 128.45% year-over-year to $64.4 million in Q2 2026; TTM through Jun 2026 was $142.2 million, a 78.25% increase from a year earlier, with the FY2025 full-year figure at $93.0 million, up 31.34% from the prior year.
- EBT was $64.4 million for Q2 2026 at Vita Coco Company, up from $37.4 million in the prior quarter.
- Over five years, EBT peaked at $64.4 million in Q2 2026 and troughed at -$2.8 million in Q4 2022.
- A 5-year average of $18.6 million and a median of $18.6 million in 2023 frame the typical range for EBT.
- Across the five-year window, EBT slumped 84.73% in 2022 and surged 1213.81% in 2023, its largest moves.
- Over 5 years, EBT stood at -$2.8 million in 2022, then soared by 385.0% to $8.0 million in 2023, then slumped by 79.27% to $1.7 million in 2024, then jumped by 491.04% to $9.8 million in 2025, then jumped by 559.53% to $64.4 million in 2026.
- The last three EBT figures came in at $64.4 million (Q2 2026), $37.4 million (Q1 2026), and $9.8 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 379.05 Bn | 367.07 Bn | 8.42 Bn | 5.48 Bn |
| 2 | Diageo | 209.58 Bn | 209.63 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 185.97 Bn | 185.19 Bn | 2.06 Bn | 531.19 Mn |
| 4 | Pepsico | 177.68 Bn | 167.14 Bn | 13.11 Bn | 3.85 Bn |
| 5 | Monster Beverage | 86.02 Bn | 82.60 Bn | 1.42 Bn | 768.27 Mn |
| 6 | Ambev | 46.18 Bn | 42.67 Bn | 2.06 Bn | 857.33 Mn |
| 7 | Coca-Cola Europacific Partners | 44.77 Bn | 44.20 Bn | - | - |
| 8 | Keurig Dr Pepper | 43.22 Bn | 45.90 Bn | 3.07 Bn | 305.00 Mn |
| 9 | Andina Bottling | 28.97 Bn | -301.93 Bn | 698.26 Mn | 201.74 Mn |
| 10 | Vita Coco Company | 3.33 Bn | 3.05 Bn | 105.31 Mn | 64.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64.36 Mn |
| Mar 31, 2026 | 37.44 Mn |
| Dec 31, 2025 | 9.76 Mn |
| Sep 30, 2025 | 30.68 Mn |
| Jun 30, 2025 | 28.17 Mn |
| Mar 31, 2025 | 24.36 Mn |
| Dec 31, 2024 | 1.65 Mn |
| Sep 30, 2024 | 25.61 Mn |
| Jun 30, 2024 | 25.51 Mn |
| Mar 31, 2024 | 18.02 Mn |
| Dec 31, 2023 | 7.96 Mn |
| Sep 30, 2023 | 19.18 Mn |
| Jun 30, 2023 | 22.26 Mn |
| Mar 31, 2023 | 8.53 Mn |
| Dec 31, 2022 | -2.79 Mn |
| Sep 30, 2022 | 9.09 Mn |
| Jun 30, 2022 | 1.69 Mn |
| Mar 31, 2022 | 2.85 Mn |
| Dec 31, 2021 | -4.46 Mn |
| Sep 30, 2021 | 15.28 Mn |
Vita Coco Company EBT 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=ebt&ticker=COCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=COCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();