Vita Coco Company (COCO) Exchange Rate Effect (2020 - 2026)
Vita Coco Company's (COCO) quarterly Exchange Rate Effect came in at -$51000.0 in Q2 2026, down 109.11% year-over-year from $560000.0 in Q2 2025, and up 73.85% quarter-over-quarter from -$195000.0 in Q1 2026.
Vita Coco Company (COCO) Exchange Rate Effect (2020 - 2026) Analysis & Trends
Vita Coco Company (COCO) has reported Exchange Rate Effect for 7 consecutive years, with -$51000.0 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Exchange Rate Effect fell 109.11% year-over-year to -$51000.0 in Q2 2026; TTM through Jun 2026 was -$373000.0, a 174.01% decrease from a year earlier, with the FY2025 full-year figure at $834000.0, up 248.13% from the prior year.
- Exchange Rate Effect was -$51000.0 for Q2 2026 at Vita Coco Company, up from -$195000.0 in the prior quarter.
- Over five years, Exchange Rate Effect peaked at $560000.0 in Q2 2025 and troughed at -$896000.0 in Q4 2024.
- A 5-year average of $13000.0 and a median of -$38500.0 in 2024 frame the typical range for Exchange Rate Effect.
- Across the five-year window, Exchange Rate Effect plunged 612.0% in 2024 and surged 2253.85% in 2025, its largest moves.
- Over 5 years, Exchange Rate Effect stood at $366000.0 in 2022, then tumbled by 52.19% to $175000.0 in 2023, then sank by 612.0% to -$896000.0 in 2024, then jumped by 100.11% to $1000.0 in 2025, then plunged by 5200.0% to -$51000.0 in 2026.
- The last three Exchange Rate Effect figures came in at -$51000.0 (Q2 2026), -$195000.0 (Q1 2026), and $1000.0 (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 379.05 Bn | 367.07 Bn | 8.42 Bn | -1.00 Mn |
| 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 | 148.00 Mn |
| 5 | Monster Beverage | 86.02 Bn | 82.60 Bn | 1.42 Bn | -7.28 Mn |
| 6 | Ambev | 46.18 Bn | 42.67 Bn | 2.06 Bn | -152.65 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 | -164.00 Mn |
| 9 | Andina Bottling | 28.97 Bn | -301.93 Bn | 698.26 Mn | 10.53 Mn |
| 10 | Vita Coco Company | 3.33 Bn | 3.05 Bn | 105.31 Mn | -51,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -51,000.00 |
| Mar 31, 2026 | -195,000.00 |
| Dec 31, 2025 | 1,000.00 |
| Sep 30, 2025 | -128,000.00 |
| Jun 30, 2025 | 560,000.00 |
| Mar 31, 2025 | 401,000.00 |
| Dec 31, 2024 | -896,000.00 |
| Sep 30, 2024 | 439,000.00 |
| Jun 30, 2024 | -26,000.00 |
| Mar 31, 2024 | -80,000.00 |
| Dec 31, 2023 | 175,000.00 |
| Sep 30, 2023 | -159,000.00 |
| Jun 30, 2023 | 184,000.00 |
| Mar 31, 2023 | 187,000.00 |
| Dec 31, 2022 | 366,000.00 |
| Sep 30, 2022 | -268,000.00 |
| Jun 30, 2022 | -220,000.00 |
| Mar 31, 2022 | -56,000.00 |
| Dec 31, 2021 | 152,000.00 |
| Sep 30, 2021 | -235,000.00 |
Vita Coco Company Exchange Rate Effect 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=exchange-rate-effect&ticker=COCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=COCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();