Cerence (CRNC) EV to EBITDA (2019 - 2026)
Cerence's EV to EBITDA came in at 13.89 for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 65.1% from the prior quarter.
Cerence (CRNC) EV to EBITDA (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cerence reported EV to EBITDA of 13.72; for FY2025 (ended Sep 30, 2025), it came in at 65.03.
- Going back by fiscal year, EV to EBITDA was 40.15 in FY2021 (+17.8%).
- The five-year range for quarterly EV to EBITDA is 8.41 (fiscal Q2 2026) to 65.03 (fiscal Q4 2025).
- Business Quant data shows CRNC's EV to EBITDA at 8.41 (Q2 2026), 8.83 (Q1 2026) and 65.03 (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.42 Bn | 240.49 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 232.07 Bn | 212.47 Bn | 1.10 Bn |
| 3 | Fortinet | 125.35 Bn | 111.28 Bn | 1.64 Bn |
| 4 | Snowflake | 111.63 Bn | 98.94 Bn | 1.04 Bn |
| 5 | Datadog | 91.35 Bn | 72.99 Bn | 881.34 Mn |
| 6 | Zscaler | 34.43 Bn | 20.55 Bn | - |
| 7 | Okta | 33.87 Bn | 23.97 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 31.65 Bn | 26.18 Bn | 546.45 Mn |
| 9 | MongoDB | 29.46 Bn | 19.93 Bn | 569.77 Mn |
| 10 | Cerence | 402.14 Mn | 396.16 Mn | 52.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.89 |
| Mar 31, 2026 | 8.41 |
| Dec 31, 2025 | 8.83 |
| Sep 30, 2025 | 65.03 |
| Dec 31, 2023 | 17.01 |
| Jun 30, 2022 | 11.87 |
| Mar 31, 2022 | 16.69 |
| Dec 31, 2021 | 31.22 |
| Sep 30, 2021 | 40.15 |
| Jun 30, 2021 | 41.87 |
| Mar 31, 2021 | 43.81 |
| Dec 31, 2020 | 52.26 |
| Sep 30, 2020 | 34.09 |
| Jun 30, 2020 | 36.54 |
| Mar 31, 2020 | 11.80 |
| Dec 31, 2019 | 23.50 |
| Sep 30, 2019 | 15.81 |
Cerence 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=CRNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "CRNC", "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=CRNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();