Vita Coco Company (COCO) Operating Expenses (2020 - 2026)
Vita Coco Company's Operating Expenses was $42.17 million in Q2 2026, up 16.7% from $36.14 million a year earlier and up 10.3% from the prior quarter.
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Analysis
Vita Coco Company (COCO) Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Vita Coco Company's Operating Expenses was $155.53 million through Jun 30, 2026, up 17.0% year-over-year; for FY2025, it came in at $140.06 million, up 12.1% from FY2024.
- Operating Expenses has now increased for five consecutive years, with a five-year compound annual growth rate of 19.3% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $124.96 million in FY2024 (+0.6%), $124.24 million in FY2023 (+23.9%), $100.31 million in FY2022 (+13.3%) and $88.56 million in FY2021 (+52.7%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q3 2020.
- Compared with a year earlier, Operating Expenses was higher in six of the last eight quarters, with growth averaging 13.0%.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2021 (growth of 40.8%); the worst was Q4 2025 (a decline of 7.1%).
- Per Business Quant data, COCO's Operating Expenses in the three quarters before Q2 2026 was $38.23 million (Q1 2026), $34.38 million (Q4 2025) and $40.75 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 395.88 Bn | 382.35 Bn | 8.42 Bn | 3.72 Bn |
| 2 | Coca Cola Femsa Sab De Cv | 193.50 Bn | 193.50 Bn | 2.06 Bn | 1.49 Bn |
| 3 | Pepsico | 175.26 Bn | 133.02 Bn | 13.75 Bn | 9.49 Bn |
| 4 | Monster Beverage | 88.72 Bn | 76.97 Bn | 1.42 Bn | 679.19 Mn |
| 5 | Diageo | 52.28 Bn | 32.35 Bn | - | - |
| 6 | Ambev | 50.60 Bn | 35.89 Bn | 2.06 Bn | -263.15 Mn |
| 7 | Coca-Cola Europacific Partners | 50.03 Bn | 42.70 Bn | - | -1.63 Bn |
| 8 | Keurig Dr Pepper | 46.25 Bn | 42.30 Bn | 3.07 Bn | 2.40 Bn |
| 9 | Constellation Brands | 22.09 Bn | 21.64 Bn | 1.39 Bn | 538.20 Mn |
| 10 | Vita Coco Company | 3.31 Bn | 2.43 Bn | 105.31 Mn | 42.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.17 Mn |
| Mar 31, 2026 | 38.23 Mn |
| Dec 31, 2025 | 34.38 Mn |
| Sep 30, 2025 | 40.75 Mn |
| Jun 30, 2025 | 36.14 Mn |
| Mar 31, 2025 | 28.79 Mn |
| Dec 31, 2024 | 37.02 Mn |
| Sep 30, 2024 | 30.97 Mn |
| Jun 30, 2024 | 28.76 Mn |
| Mar 31, 2024 | 28.22 Mn |
| Dec 31, 2023 | 34.38 Mn |
| Sep 30, 2023 | 32.65 Mn |
| Jun 30, 2023 | 30.25 Mn |
| Mar 31, 2023 | 26.96 Mn |
| Dec 31, 2022 | 27.29 Mn |
| Sep 30, 2022 | 23.96 Mn |
| Jun 30, 2022 | 24.26 Mn |
| Mar 31, 2022 | 24.80 Mn |
| Dec 31, 2021 | 26.66 Mn |
| Sep 30, 2021 | 20.68 Mn |
API Access
Vita Coco Company Operating 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=operating-expenses&ticker=COCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=COCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();