Celsius Holdings (CELH) Operating Expenses (2018 - 2026)
Celsius Holdings (CELH) reported Operating Expenses of $318.43 million for Q2 2026, up 33.9% from $237.89 million a year earlier and up 33.2% from the prior quarter.
Celsius Holdings (CELH) Operating Expenses (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Celsius Holdings' Operating Expenses came in at $1.33 billion, up 98.2% year-over-year; for FY2025, it was $1.13 billion, up 114.7% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 84.2% (FY2020 to FY2025).
- By year, Operating Expenses came in at $524.48 million in FY2024 (+43.0%), $366.77 million in FY2023 (-14.4%), $428.67 million in FY2022 (+224.1%) and $132.26 million in FY2021 (+149.3%).
- Five-year quarterly Operating Expenses spans a low of $38.79 million in Q4 2021 and a high of $452.28 million in Q3 2025.
- Year over year, Operating Expenses has now increased in each of the last ten quarters, with growth averaging 86.9% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2022 (growth of 393.2%); the low point was Q3 2023 (a decline of 57.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $239.07 million (Q1 2026), $315.77 million (Q4 2025) and $452.28 million (Q3 2025).
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 | Celsius Holdings | 7.15 Bn | 4.76 Bn | 393.69 Mn | 318.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 318.43 Mn |
| Mar 31, 2026 | 239.07 Mn |
| Dec 31, 2025 | 315.77 Mn |
| Sep 30, 2025 | 452.28 Mn |
| Jun 30, 2025 | 237.89 Mn |
| Mar 31, 2025 | 120.34 Mn |
| Dec 31, 2024 | 185.17 Mn |
| Sep 30, 2024 | 125.44 Mn |
| Jun 30, 2024 | 114.85 Mn |
| Mar 31, 2024 | 99.02 Mn |
| Dec 31, 2023 | 107.30 Mn |
| Sep 30, 2023 | 96.39 Mn |
| Jun 30, 2023 | 94.18 Mn |
| Mar 31, 2023 | 68.91 Mn |
| Dec 31, 2022 | 111.75 Mn |
| Sep 30, 2022 | 226.25 Mn |
| Jun 30, 2022 | 46.89 Mn |
| Mar 31, 2022 | 43.78 Mn |
| Dec 31, 2021 | 38.79 Mn |
| Sep 30, 2021 | 45.88 Mn |
Celsius Holdings 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=CELH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CELH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();