Cellebrite DI (CLBT) Operating Expenses (2020 - 2026)
Cellebrite DI's Operating Expenses was $98.98 million in the quarter ended Jun 30, 2026, up 21.9% from $81.18 million a year earlier and up 2.3% from the prior quarter.
Cellebrite DI (CLBT) Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cellebrite DI's Operating Expenses was $370.79 million through Jun 30, 2026, up 20.9% year-over-year; for the year ended Dec 31, 2025, it was $334.02 million, up 18.6% from the prior year.
- Operating Expenses has now increased for six consecutive years, with a five-year compound annual growth rate of 17.7% (years ended Dec 2020 to Dec 2025).
- In earlier years, Operating Expenses was $281.7 million in the year ended Dec 31, 2024 (+18.0%), $238.64 million in the year ended Dec 31, 2023 (+9.0%), $218.86 million in the year ended Dec 31, 2022 (+15.3%) and $189.87 million in the year ended Dec 31, 2021 (+28.4%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Operating Expenses in data going back to the quarter ended Sep 30, 2020.
- Compared with a year earlier, Operating Expenses has increased for 11 straight quarters, with growth averaging 20.6% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was the quarter ended Sep 30, 2021 (growth of 64.1%); the worst was the quarter ended Sep 30, 2023 (a decline of 0.7%).
- Per Business Quant data, CLBT's Operating Expenses in the three quarters before the quarter ended Jun 30, 2026 was $96.76 million (quarter ended Mar 31, 2026), $88.33 million (quarter ended Dec 31, 2025) and $86.73 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 499.67 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 534.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 4.17 Bn |
| 10 | Cellebrite DI | 2.76 Bn | 1.50 Bn | 105.93 Mn | 98.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 98.98 Mn |
| Mar 31, 2026 | 96.76 Mn |
| Dec 31, 2025 | 88.33 Mn |
| Sep 30, 2025 | 86.73 Mn |
| Jun 30, 2025 | 81.18 Mn |
| Mar 31, 2025 | 77.79 Mn |
| Dec 31, 2024 | 75.70 Mn |
| Sep 30, 2024 | 71.97 Mn |
| Jun 30, 2024 | 66.97 Mn |
| Mar 31, 2024 | 67.07 Mn |
| Dec 31, 2023 | 63.10 Mn |
| Sep 30, 2023 | 57.82 Mn |
| Jun 30, 2023 | 59.03 Mn |
| Mar 31, 2023 | 58.69 Mn |
| Dec 31, 2022 | 52.21 Mn |
| Sep 30, 2022 | 58.23 Mn |
| Jun 30, 2022 | 55.07 Mn |
| Mar 31, 2022 | 53.35 Mn |
| Dec 31, 2021 | 51.27 Mn |
| Sep 30, 2021 | 57.03 Mn |
Cellebrite DI 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=CLBT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CLBT", "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=CLBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();