Cellebrite DI (CLBT) EBITDA (2020 - 2026)
Cellebrite DI (CLBT) recorded EBITDA of $15.86 million in the quarter ended Jun 30, 2026, down 6.7% from $17.01 million a year earlier and down 1.6% from the prior quarter.
Cellebrite DI (CLBT) EBITDA (2020 - 2026) Analysis & Trends
On a TTM basis, Cellebrite DI's EBITDA came in at $78.43 million as of Jun 30, 2026, up 8.3% year-over-year; for the year ended Dec 31, 2025, it was $78.35 million, up 16.0% from the prior year.
- Annual EBITDA has increased for three straight years, with a five-year compound annual growth rate of 39.0% (years ended Dec 2020 to Dec 2025).
- Across earlier years, EBITDA came in at $67.51 million in the year ended Dec 31, 2024 (+56.1%), $43.25 million in the year ended Dec 31, 2023 (+322.4%), $10.24 million in the year ended Dec 31, 2022 (-50.8%) and $20.83 million in the year ended Dec 31, 2021 (+38.0%).
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly EBITDA since the quarter ended Mar 31, 2025.
- On a year-over-year basis, EBITDA rose in six of the last eight quarters, with growth averaging 14.5%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 361.7% in the quarter ended Mar 31, 2024, against a decline of 97.2% in the quarter ended Mar 31, 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $16.12 million (quarter ended Mar 31, 2026), $24.75 million (quarter ended Dec 31, 2025) and $21.69 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 693.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 170.34 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 827.40 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | -134.60 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 47.04 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 79.24 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 166.00 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 | 15.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.86 Mn |
| Mar 31, 2026 | 16.12 Mn |
| Dec 31, 2025 | 24.75 Mn |
| Sep 30, 2025 | 21.69 Mn |
| Jun 30, 2025 | 17.01 Mn |
| Mar 31, 2025 | 14.90 Mn |
| Dec 31, 2024 | 18.46 Mn |
| Sep 30, 2024 | 22.07 Mn |
| Jun 30, 2024 | 15.06 Mn |
| Mar 31, 2024 | 11.93 Mn |
| Dec 31, 2023 | 17.61 Mn |
| Sep 30, 2023 | 15.86 Mn |
| Jun 30, 2023 | 7.19 Mn |
| Mar 31, 2023 | 2.58 Mn |
| Dec 31, 2022 | 12.19 Mn |
| Sep 30, 2022 | 1.22 Mn |
| Jun 30, 2022 | -3.34 Mn |
| Mar 31, 2022 | 166,000.00 |
| Dec 31, 2021 | 6.12 Mn |
| Sep 30, 2021 | -995,000.00 |
Cellebrite DI EBITDA 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=ebitda&ticker=CLBT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CLBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();