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 | 255.29 Bn | 240.36 Bn | 2.30 Bn | -5.00 Mn |
| 2 | CrowdStrike Holdings | 230.26 Bn | 210.66 Bn | 1.10 Bn | -1.73 Mn |
| 3 | Fortinet | 125.14 Bn | 111.07 Bn | 1.64 Bn | - |
| 4 | Snowflake | 111.84 Bn | 99.16 Bn | 1.04 Bn | -1.86 Mn |
| 5 | Datadog | 90.85 Bn | 72.49 Bn | 881.34 Mn | 782,000.00 |
| 6 | Zscaler | 34.38 Bn | 20.50 Bn | - | - |
| 7 | Okta | 33.61 Bn | 23.70 Bn | 641.00 Mn | -3.00 Mn |
| 8 | Axon Enterprise | 32.27 Bn | 26.79 Bn | 546.45 Mn | -2.45 Mn |
| 9 | MongoDB | 28.95 Bn | 19.42 Bn | 569.77 Mn | -2.18 Mn |
| 10 | Cellebrite DI | 2.75 Bn | 1.49 Bn | 105.93 Mn | 110,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 110,000.00 |
| Mar 31, 2026 | -589,000.00 |
| Dec 31, 2025 | 56,000.00 |
| Sep 30, 2025 | -189,000.00 |
| Jun 30, 2025 | 1.76 Mn |
| Mar 31, 2025 | 822,000.00 |
| Dec 31, 2024 | -1.44 Mn |
| Sep 30, 2024 | 880,000.00 |
| Jun 30, 2024 | -49,000.00 |
| 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();