Cellebrite DI (CLBT) Receivables (2020 - 2026)
Cellebrite DI (CLBT) posted Receivables of $167.93 million for the quarter ended Jun 30, 2026, up 0.7% from $166.78 million a year earlier and up 60.0% from the prior quarter.
Cellebrite DI (CLBT) Receivables (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Cellebrite DI's Receivables came in at $183.54 million, up 12.1% from the prior year.
- Annual Receivables shows a five-year compound annual growth rate of 12.9% (years ended Dec 2020 to Dec 2025).
- In prior years, Cellebrite DI's Receivables was $163.7 million in the year ended Dec 31, 2024 (-1.6%), $166.44 million in the year ended Dec 31, 2023 (+3.8%), $160.29 million in the year ended Dec 31, 2022 (+14.7%) and $139.76 million in the year ended Dec 31, 2021 (+39.4%).
- Quarterly Receivables has run from a low of $67.51 million in the quarter ended Mar 31, 2022 to a high of $183.54 million in the quarter ended Dec 31, 2025 over five years.
- On a year-over-year basis, Receivables has increased in each of the last four quarters, with growth averaging 16.6% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was the quarter ended Dec 31, 2025, with growth of 123.2%; the weakest was the quarter ended Dec 31, 2024, with a decline of 50.6%.
- According to Business Quant data, Receivables for the three prior quarters was $104.97 million (quarter ended Mar 31, 2026), $183.54 million (quarter ended Dec 31, 2025) and $104.2 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 3.63 Bn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 718.46 Mn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 1.46 Bn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 963.88 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 1.15 Bn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 469.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 1.52 Bn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 483.22 Mn |
| 10 | Cellebrite DI | 3.01 Bn | 1.75 Bn | 105.93 Mn | 167.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 167.93 Mn |
| Mar 31, 2026 | 104.97 Mn |
| Dec 31, 2025 | 183.54 Mn |
| Sep 30, 2025 | 104.20 Mn |
| Jun 30, 2025 | 166.78 Mn |
| Mar 31, 2025 | 82.36 Mn |
| Dec 31, 2024 | 82.24 Mn |
| Sep 30, 2024 | 93.73 Mn |
| Jun 30, 2024 | 168.50 Mn |
| Dec 31, 2023 | 166.44 Mn |
| Sep 30, 2023 | 78.76 Mn |
| Jun 30, 2023 | 157.35 Mn |
| Dec 31, 2022 | 160.29 Mn |
| Jun 30, 2022 | 138.09 Mn |
| Dec 31, 2021 | 139.76 Mn |
| Dec 31, 2020 | 100.23 Mn |
Cellebrite DI Receivables 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=receivables&ticker=CLBT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=CLBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();