Cellebrite DI (CLBT) EV to EBITDA (2021 - 2026)
Cellebrite DI's (CLBT) EV to EBITDA was 42.66 for the quarter ended Jun 30, 2026, down 11.8% from 48.40 a year earlier but up 7.8% from the prior quarter.
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Analysis
Cellebrite DI (CLBT) EV to EBITDA (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Cellebrite DI's EV to EBITDA came in at 30.39, down 20.0% year-over-year; for the year ended Dec 31, 2025, it came in at 53.88, down 27.0% from the prior year.
- By year, EV to EBITDA came in at 73.79 in the year ended Dec 31, 2024 (+94.2%), 38.01 in the year ended Dec 31, 2023 (-50.9%), 77.38 in the year ended Dec 31, 2022 (+88.8%) and 41.00 in the year ended Dec 31, 2021 (-42.4%).
- Five-year quarterly EV to EBITDA spans a low of 34.52 in the quarter ended Sep 30, 2023 and a high of 262.55 in the quarter ended Jun 30, 2022.
- Year over year, EV to EBITDA has now declined in each of the last three quarters, with growth averaging 18.6% over the last eight quarters.
- The high point for year-over-year EV to EBITDA in five years was the quarter ended Jun 30, 2022 (growth of 713.8%); the low point was the quarter ended Jun 30, 2023 (a decline of 79.7%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at 39.57 (quarter ended Mar 31, 2026), 53.88 (quarter ended Dec 31, 2025) and 56.05 (quarter ended Sep 30, 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.66 |
| Mar 31, 2026 | 39.57 |
| Dec 31, 2025 | 53.88 |
| Sep 30, 2025 | 56.05 |
| Jun 30, 2025 | 48.40 |
| Mar 31, 2025 | 62.72 |
| Dec 31, 2024 | 73.79 |
| Sep 30, 2024 | 48.44 |
| Jun 30, 2024 | 37.62 |
| Mar 31, 2024 | 39.96 |
| Dec 31, 2023 | 40.36 |
| Sep 30, 2023 | 34.52 |
| Jun 30, 2023 | 53.20 |
| Mar 31, 2023 | 82.00 |
| Dec 31, 2022 | 77.38 |
| Sep 30, 2022 | 86.63 |
| Jun 30, 2022 | 262.55 |
| Mar 31, 2022 | 42.70 |
| Dec 31, 2021 | 41.41 |
| Sep 30, 2021 | 45.93 |
API Access
Cellebrite DI EV to 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=ev-to-ebitda&ticker=CLBT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=CLBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();