Vita Coco Company (COCO) Price to Earnings (2021 - 2026)
Vita Coco Company's (COCO) quarterly Price to Earnings came in at 76.77 in Q2 2026, down 14.24% year-over-year from 89.51 in Q2 2025, and down 14.49% quarter-over-quarter from 89.78 in Q1 2026.
Vita Coco Company (COCO) Price to Earnings (2021 - 2026) Analysis & Trends
Vita Coco Company (COCO) has reported Price to Earnings for 6 consecutive years, with 76.77 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Earnings fell 14.24% year-over-year to 76.77 in Q2 2026; TTM through Jun 2026 was 34.68, a 8.94% increase from a year earlier, with the FY2025 full-year figure at 42.43, up 12.91% from the prior year.
- Price to Earnings was 76.77 for Q2 2026 at Vita Coco Company, down from 89.78 in the prior quarter.
- Over five years, Price to Earnings peaked at 623.88 in Q4 2024 and troughed at 275.51 in Q4 2022.
- A 5-year average of 164.45 and a median of 94.91 in 2024 frame the typical range for Price to Earnings.
- Across the five-year window, Price to Earnings sank 82.38% in 2023 and soared 189.52% in 2024, its largest moves.
- Over 5 years, Price to Earnings stood at 275.51 in 2022, then soared by 178.21% to 215.48 in 2023, then soared by 189.52% to 623.88 in 2024, then retreated by 12.25% to 547.48 in 2025, then plunged by 85.98% to 76.77 in 2026.
- The last three Price to Earnings figures came in at 76.77 (Q2 2026), 89.78 (Q1 2026), and 547.48 (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 379.05 Bn | 367.07 Bn | 8.42 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 |
| 4 | Pepsico | 177.68 Bn | 167.14 Bn | 13.11 Bn |
| 5 | Monster Beverage | 86.02 Bn | 82.60 Bn | 1.42 Bn |
| 6 | Ambev | 46.18 Bn | 42.67 Bn | 2.06 Bn |
| 7 | Coca-Cola Europacific Partners | 44.77 Bn | 44.20 Bn | - |
| 8 | Keurig Dr Pepper | 43.22 Bn | 45.90 Bn | 3.07 Bn |
| 9 | Andina Bottling | 28.97 Bn | -301.93 Bn | 698.26 Mn |
| 10 | Vita Coco Company | 3.33 Bn | 3.05 Bn | 105.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 76.77 |
| Mar 31, 2026 | 89.78 |
| Dec 31, 2025 | 547.48 |
| Sep 30, 2025 | 100.76 |
| Jun 30, 2025 | 89.51 |
| Mar 31, 2025 | 92.55 |
| Dec 31, 2024 | 623.88 |
| Sep 30, 2024 | 83.43 |
| Jun 30, 2024 | 82.82 |
| Mar 31, 2024 | 97.26 |
| Dec 31, 2023 | 215.48 |
| Sep 30, 2023 | 97.46 |
| Jun 30, 2023 | 84.31 |
| Mar 31, 2023 | 164.47 |
| Dec 31, 2022 | -275.51 |
| Sep 30, 2022 | 87.76 |
| Jun 30, 2022 | 478.34 |
| Mar 31, 2022 | 223.64 |
| Dec 31, 2021 | -181.62 |
Vita Coco Company Price to Earnings 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=price-to-earnings&ticker=COCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=COCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();