Cellebrite DI (CLBT) Assets (2020 - 2026)
Cellebrite DI (CLBT) recorded Assets of $994.31 million in the quarter ended Jun 30, 2026, up 26.3% from $787.43 million a year earlier and up 4.4% from the prior quarter.
Cellebrite DI (CLBT) Assets (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Cellebrite DI reported Assets of $938.85 million, up 36.0% from the prior year.
- Annual Assets has increased for four straight years, with a five-year compound annual growth rate of 20.8% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Assets came in at $690.57 million in the year ended Dec 31, 2024 (+29.6%), $532.89 million in the year ended Dec 31, 2023 (+32.1%), $403.29 million in the year ended Dec 31, 2022 (+18.7%) and $339.78 million in the year ended Dec 31, 2021 (-6.8%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Assets in data going back to the quarter ended Dec 31, 2020.
- On a year-over-year basis, Assets has increased for 16 consecutive quarters, with growth averaging 33.3% over the last eight quarters.
- Peak year-over-year performance for Assets in the last five years was growth of 41.5% in the quarter ended Jun 30, 2025, against a decline of 6.8% in the quarter ended Dec 31, 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $952.29 million (quarter ended Mar 31, 2026), $938.85 million (quarter ended Dec 31, 2025) and $834.32 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 48.46 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 12.03 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 10.86 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 8.69 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 7.55 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 7.48 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 9.14 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 7.87 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 69.26 Bn |
| 10 | Cellebrite DI | 2.76 Bn | 1.50 Bn | 105.93 Mn | 994.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 994.31 Mn |
| Mar 31, 2026 | 952.29 Mn |
| Dec 31, 2025 | 938.85 Mn |
| Sep 30, 2025 | 834.32 Mn |
| Jun 30, 2025 | 787.43 Mn |
| Mar 31, 2025 | 709.89 Mn |
| Dec 31, 2024 | 690.57 Mn |
| Sep 30, 2024 | 629.25 Mn |
| Jun 30, 2024 | 556.58 Mn |
| Mar 31, 2024 | 529.14 Mn |
| Dec 31, 2023 | 532.89 Mn |
| Sep 30, 2023 | 476.94 Mn |
| Jun 30, 2023 | 425.89 Mn |
| Mar 31, 2023 | 412.69 Mn |
| Dec 31, 2022 | 403.29 Mn |
| Sep 30, 2022 | 352.49 Mn |
| Jun 30, 2022 | 324.84 Mn |
| Mar 31, 2022 | 324.63 Mn |
| Dec 31, 2021 | 339.78 Mn |
| Sep 30, 2021 | 315.15 Mn |
Cellebrite DI Assets 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=assets&ticker=CLBT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=CLBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();