Cellebrite DI (CLBT) EV to FCF (2021 - 2026)
Cellebrite DI's EV to FCF came in at 19.57 for the quarter ended Jun 30, 2026, down 3.9% from 20.38 a year earlier but up 15.9% from the prior quarter.
Cellebrite DI (CLBT) EV to FCF (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cellebrite DI reported EV to FCF of 13.94, down 12.9% year-over-year; for the year ended Dec 31, 2025, it was 22.60, down 36.2% from the prior year.
- Going back by year, EV to FCF was 35.40 in the year ended Dec 31, 2024 (+131.1%), 15.32 in the year ended Dec 31, 2023 (-46.9%), 28.84 in the year ended Dec 31, 2022 (+39.0%) and 20.74 in the year ended Dec 31, 2021 (+40.3%).
- The five-year range for quarterly EV to FCF is 13.28 (the quarter ended Sep 30, 2023) to 38.57 (the quarter ended Jun 30, 2022).
- Year-over-year, EV to FCF has declined for five consecutive quarters, with growth averaging 21.3% over the last eight quarters.
- The fastest year-over-year change in EV to FCF over five years came in the quarter ended Jun 30, 2022 (growth of 147.6%), and the weakest in the quarter ended Jun 30, 2023 (a decline of 53.7%).
- Business Quant data shows CLBT's EV to FCF at 16.89 (quarter ended Mar 31, 2026), 22.60 (quarter ended Dec 31, 2025) and 24.46 (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn |
| 10 | Cellebrite DI | 2.81 Bn | 1.55 Bn | 105.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.57 |
| Mar 31, 2026 | 16.89 |
| Dec 31, 2025 | 22.60 |
| Sep 30, 2025 | 24.46 |
| Jun 30, 2025 | 20.38 |
| Mar 31, 2025 | 29.01 |
| Dec 31, 2024 | 35.40 |
| Sep 30, 2024 | 27.45 |
| Jun 30, 2024 | 21.77 |
| Mar 31, 2024 | 19.96 |
| Dec 31, 2023 | 16.27 |
| Sep 30, 2023 | 13.28 |
| Jun 30, 2023 | 17.84 |
| Mar 31, 2023 | 21.07 |
| Dec 31, 2022 | 28.84 |
| Sep 30, 2022 | 17.25 |
| Jun 30, 2022 | 38.57 |
| Mar 31, 2022 | 20.46 |
| Dec 31, 2021 | 21.04 |
| Sep 30, 2021 | 22.29 |
Cellebrite DI EV to FCF 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-fcf&ticker=CLBT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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-fcf&ticker=CLBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();