Cellebrite DI (CLBT) Goodwill & Intangibles (2020 - 2026)
Cellebrite DI (CLBT) posted Goodwill & Intangibles of $241.47 million for the quarter ended Jun 30, 2026, up 519.8% from $38.96 million a year earlier but down 2.4% from the prior quarter.
Cellebrite DI (CLBT) Goodwill & Intangibles (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Cellebrite DI's Goodwill & Intangibles came in at $201.03 million, up 402.3% from the prior year.
- Annual Goodwill & Intangibles shows a five-year compound annual growth rate of 65.7% (years ended Dec 2020 to Dec 2025).
- In prior years, Cellebrite DI's Goodwill & Intangibles was $40.02 million in the year ended Dec 31, 2024 and $814,000 in the year ended Dec 31, 2021 (-94.9%).
- Quarterly Goodwill & Intangibles has run from a low of $814,000 in the quarter ended Dec 31, 2021 to a high of $247.53 million in the quarter ended Mar 31, 2026 over five years.
- On a year-over-year basis, Goodwill & Intangibles has increased in each of the last three quarters, with growth averaging 208.7% over the last seven quarters.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was the quarter ended Mar 31, 2026, with growth of 524.5%; the weakest was the quarter ended Dec 31, 2021, with a decline of 94.9%.
- According to Business Quant data, Goodwill & Intangibles for the three prior quarters was $247.53 million (quarter ended Mar 31, 2026), $201.03 million (quarter ended Dec 31, 2025) and $38.52 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn |
| 10 | Cellebrite DI | 2.76 Bn | 1.50 Bn | 105.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 241.47 Mn |
| Mar 31, 2026 | 247.53 Mn |
| Dec 31, 2025 | 201.03 Mn |
| Sep 30, 2025 | 38.52 Mn |
| Jun 30, 2025 | 38.96 Mn |
| Mar 31, 2025 | 39.64 Mn |
| Dec 31, 2024 | 40.02 Mn |
| Sep 30, 2024 | 40.03 Mn |
| Jun 30, 2024 | 36.64 Mn |
| Mar 31, 2024 | 37.25 Mn |
| Sep 30, 2023 | 37.98 Mn |
| Jun 30, 2023 | 36.45 Mn |
| Mar 31, 2023 | 37.29 Mn |
| Sep 30, 2022 | 36.64 Mn |
| Jun 30, 2022 | 36.73 Mn |
| Mar 31, 2022 | 37.39 Mn |
| Dec 31, 2021 | 814,000.00 |
| Sep 30, 2021 | 17.78 Mn |
| Dec 31, 2020 | 16.07 Mn |
Cellebrite DI Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=CLBT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=CLBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();