Cellebrite DI (CLBT) Exchange Rate Effect (2020 - 2026)
Cellebrite DI's Exchange Rate Effect came in at $1.45 million for the quarter ended Jun 30, 2026, compared with -$2.53 million a year earlier.
Cellebrite DI (CLBT) Exchange Rate Effect (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cellebrite DI reported Exchange Rate Effect of $726,000; for the year ended Dec 31, 2025, it came in at $2.45 million.
- Exchange Rate Effect carries a five-year compound annual growth rate of 28.7% (years ended Dec 2020 to Dec 2025).
- Going back by year, Exchange Rate Effect was -$1.21 million in the year ended Dec 31, 2024, $589,000 in the year ended Dec 31, 2023, -$1.64 million in the year ended Dec 31, 2022 and -$754,000 in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Exchange Rate Effect since the quarter ended Jun 30, 2024.
- Business Quant data shows CLBT's Exchange Rate Effect at -$589,000 (quarter ended Mar 31, 2026), $56,000 (quarter ended Dec 31, 2025) and -$189,000 (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) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | -5.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | -1.73 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | - |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | -1.86 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 782,000.00 |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | -2.45 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | -3.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | -31.00 Mn |
| 10 | Cellebrite DI | 2.76 Bn | 1.50 Bn | 105.93 Mn | 1.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.45 Mn |
| Mar 31, 2026 | -589,000.00 |
| Dec 31, 2025 | 56,000.00 |
| Sep 30, 2025 | -189,000.00 |
| Jun 30, 2025 | -2.53 Mn |
| Mar 31, 2025 | 822,000.00 |
| Dec 31, 2024 | -1.44 Mn |
| Sep 30, 2024 | 880,000.00 |
| Jun 30, 2024 | 1.97 Mn |
| Mar 31, 2024 | -600,000.00 |
| Dec 31, 2023 | 932,000.00 |
| Sep 30, 2023 | -535,000.00 |
| Jun 30, 2023 | 7,000.00 |
| Mar 31, 2023 | 185,000.00 |
| Dec 31, 2022 | 2.80 Mn |
| Sep 30, 2022 | -2.07 Mn |
| Jun 30, 2022 | -2.43 Mn |
| Mar 31, 2022 | 56,000.00 |
| Dec 31, 2021 | -81,000.00 |
| Sep 30, 2021 | -500,000.00 |
Cellebrite DI Exchange Rate Effect 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=exchange-rate-effect&ticker=CLBT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=CLBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();