Cellebrite DI (CLBT) Amortization - Intangibles (2020 - 2026)
Cellebrite DI's Amortization - Intangibles was $4.97 million in the quarter ended Mar 31, 2026, up 437.1% from $926,000 a year earlier and up 136.0% from the prior quarter.
Cellebrite DI (CLBT) Amortization - Intangibles (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cellebrite DI's Amortization - Intangibles was $8.94 million through Mar 31, 2026, up 154.7% year-over-year; for the year ended Dec 31, 2025, it was $4.9 million, up 46.3% from the prior year.
- Amortization - Intangibles has now increased for five consecutive years, with a five-year compound annual growth rate of 30.6% (years ended Dec 2020 to Dec 2025).
- In earlier years, Amortization - Intangibles was $3.35 million in the year ended Dec 31, 2024 (+0.1%), $3.35 million in the year ended Dec 31, 2023 (+18.4%), $2.83 million in the year ended Dec 31, 2022 (+43.4%) and $1.97 million in the year ended Dec 31, 2021 (+52.9%).
- The figure for the quarter ended Mar 31, 2026 marks the highest quarterly Amortization - Intangibles in data going back to the quarter ended Dec 31, 2020.
- Compared with a year earlier, Amortization - Intangibles has increased for three straight quarters, with growth averaging 98.7% over the last six quarters.
- The best year-over-year quarter for Amortization - Intangibles over five years was the quarter ended Mar 31, 2026 (growth of 437.1%); the worst was the quarter ended Sep 30, 2024 (a decline of 5.5%).
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 |
|---|---|
| Mar 31, 2026 | 4.97 Mn |
| Dec 31, 2025 | 2.11 Mn |
| Sep 30, 2025 | 934,000.00 |
| Mar 31, 2025 | 926,000.00 |
| Dec 31, 2024 | 864,000.00 |
| Sep 30, 2024 | 794,000.00 |
| Mar 31, 2024 | 927,000.00 |
| Dec 31, 2023 | 871,000.00 |
| Sep 30, 2023 | 840,000.00 |
| Jun 30, 2023 | 840,000.00 |
| Mar 31, 2023 | 796,000.00 |
| Dec 31, 2022 | 834,000.00 |
| Sep 30, 2022 | 664,000.00 |
| Jun 30, 2022 | 664,000.00 |
| Mar 31, 2022 | 664,000.00 |
| Dec 31, 2021 | 607,000.00 |
| Jun 30, 2021 | 436,000.00 |
| Mar 31, 2021 | 388,000.00 |
| Dec 31, 2020 | 387,000.00 |
Cellebrite DI Amortization - 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=amortization-intangibles&ticker=CLBT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-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=amortization-intangibles&ticker=CLBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();