Celsius Holdings (CELH) Price to Earnings (2018 - 2026)
Celsius Holdings' (CELH) quarterly Price to Earnings came in at 203.67 in Q2 2026, up 45.95% on a YoY basis from 139.55 in Q2 2025, and up 90.37% quarter-over-quarter from 106.99 in Q1 2026.
Celsius Holdings (CELH) Price to Earnings (2018 - 2026) Analysis & Trends
Celsius Holdings (CELH) has reported Price to Earnings for 9 consecutive years, with 203.67 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Earnings rose 45.95% year-over-year to 203.67; the trailing twelve-month figure through Jun 2026 stood at 123.7 (down 0.69% YoY), and the FY2025 full-year result was 184.08, up 219.54% from the prior year.
- Price to Earnings rose to 203.67 in Q2 2026 per CELH's latest filing, from 106.99 in the prior quarter.
- Across five years, Price to Earnings topped out at 622415.71 in Q1 2022 and bottomed at 13229.87 in Q3 2024.
- Historically, Price to Earnings has averaged 34023.72 across 5 years, with a median of 201.76 in 2024.
- The sharpest annual moves came in 2023 and 2024: Price to Earnings jumped 608.08% in 2023, then tumbled 7125.55% in 2024.
- Over 5 years, Price to Earnings stood at 282.27 in 2022, then surged by 213.56% to 320.55 in 2023, then tumbled by 182.01% to 262.88 in 2024, then jumped by 589.17% to 1285.94 in 2025, then plunged by 84.16% to 203.67 in 2026.
- According to Business Quant data, Price to Earnings over the past three periods registered 203.67, 106.99, and 1285.94 for Q2 2026, Q1 2026, and Q4 2025 respectively.
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 | Celsius Holdings | 7.39 Bn | 6.76 Bn | 393.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 203.67 |
| Mar 31, 2026 | 106.99 |
| Dec 31, 2025 | 1,285.94 |
| Sep 30, 2025 | -209.70 |
| Jun 30, 2025 | 139.55 |
| Mar 31, 2025 | 243.49 |
| Dec 31, 2024 | -262.88 |
| Sep 30, 2024 | -13,229.87 |
| Jun 30, 2024 | 199.86 |
| Mar 31, 2024 | 298.03 |
| Dec 31, 2023 | 320.55 |
| Sep 30, 2023 | 188.31 |
| Jun 30, 2023 | 281.39 |
| Mar 31, 2023 | 226.46 |
| Dec 31, 2022 | -282.27 |
| Sep 30, 2022 | -37.06 |
| Jun 30, 2022 | 538.80 |
| Mar 31, 2022 | 622,415.71 |
| Dec 31, 2021 | -1,665.41 |
| Sep 30, 2021 | 2,452.43 |
Celsius Holdings 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=CELH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "CELH", "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=CELH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();