Cerence (CRNC) Operating Expenses (2018 - 2026)
Cerence's Operating Expenses was $51.04 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 9.0% from $46.84 million a year earlier and up 2.6% from the prior quarter.
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Analysis
Cerence (CRNC) Operating Expenses (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cerence's Operating Expenses was $216.58 million through Jun 30, 2026, up 11.8% year-over-year; for FY2025 (ended Sep 30, 2025), it was $185.43 million, down 77.5% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of -1.6% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $824.21 million in FY2024 (+263.9%), $226.51 million in FY2023 (-45.4%), $415.07 million in FY2022 (+84.1%) and $225.51 million in FY2021 (+12.4%).
- Quarterly Operating Expenses has moved between $42.83 million (fiscal Q2 2025) and $405.34 million (fiscal Q3 2024) over five years.
- Compared with a year earlier, Operating Expenses has increased for three straight quarters, with an average decline of 16.4% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q3 2024 (growth of 723.5%); the worst was fiscal Q3 2025 (a decline of 88.4%).
- Per Business Quant data, CRNC's Operating Expenses in the three fiscal quarters before Q3 2026 was $49.74 million (Q2 2026), $70.04 million (Q1 2026) and $45.76 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 499.67 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 534.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 4.17 Bn |
| 10 | Cerence | 352.47 Mn | 346.49 Mn | 52.91 Mn | 51.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.04 Mn |
| Mar 31, 2026 | 49.74 Mn |
| Dec 31, 2025 | 70.04 Mn |
| Sep 30, 2025 | 45.76 Mn |
| Jun 30, 2025 | 46.84 Mn |
| Mar 31, 2025 | 42.83 Mn |
| Dec 31, 2024 | 50.01 Mn |
| Sep 30, 2024 | 54.12 Mn |
| Jun 30, 2024 | 405.34 Mn |
| Mar 31, 2024 | 311.33 Mn |
| Dec 31, 2023 | 53.42 Mn |
| Sep 30, 2023 | 53.84 Mn |
| Jun 30, 2023 | 49.22 Mn |
| Mar 31, 2023 | 64.00 Mn |
| Dec 31, 2022 | 59.45 Mn |
| Sep 30, 2022 | 263.10 Mn |
| Jun 30, 2022 | 49.01 Mn |
| Mar 31, 2022 | 55.69 Mn |
| Dec 31, 2021 | 47.27 Mn |
| Sep 30, 2021 | 63.19 Mn |
API Access
Cerence Operating Expenses 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=operating-expenses&ticker=CRNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CRNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();