Cerence (CRNC) Accumulated Expenses (2019 - 2026)
Cerence's Accumulated Expenses was $39.39 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 11.7% from $44.62 million a year earlier but up 2.4% from the prior quarter.
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Analysis
Cerence (CRNC) Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Accumulated Expenses at Cerence came in at $44.08 million, down 35.6% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of -7.8% (FY2020 to FY2025).
- In earlier fiscal years, Accumulated Expenses was $68.41 million in FY2024 (+40.4%), $48.72 million in FY2023 (+1.5%), $47.99 million in FY2022 (-25.6%) and $64.47 million in FY2021 (-2.4%).
- Quarterly Accumulated Expenses has moved between $32.97 million (fiscal Q1 2025) and $68.41 million (fiscal Q4 2024) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in four of the last eight quarters, with an average decline of 1.7%.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q4 2024 (growth of 40.4%); the worst was fiscal Q1 2025 (a decline of 36.3%).
- Per Business Quant data, CRNC's Accumulated Expenses in the three fiscal quarters before Q3 2026 was $38.48 million (Q2 2026), $37.47 million (Q1 2026) and $44.08 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn |
| 10 | Cerence | 353.82 Mn | 347.85 Mn | 52.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.39 Mn |
| Mar 31, 2026 | 38.48 Mn |
| Dec 31, 2025 | 37.47 Mn |
| Sep 30, 2025 | 44.08 Mn |
| Jun 30, 2025 | 44.62 Mn |
| Mar 31, 2025 | 37.51 Mn |
| Dec 31, 2024 | 32.97 Mn |
| Sep 30, 2024 | 68.41 Mn |
| Jun 30, 2024 | 37.56 Mn |
| Mar 31, 2024 | 39.55 Mn |
| Dec 31, 2023 | 51.73 Mn |
| Sep 30, 2023 | 48.72 Mn |
| Jun 30, 2023 | 46.80 Mn |
| Mar 31, 2023 | 52.70 Mn |
| Dec 31, 2022 | 52.16 Mn |
| Sep 30, 2022 | 47.99 Mn |
| Jun 30, 2022 | 48.99 Mn |
| Mar 31, 2022 | 45.77 Mn |
| Dec 31, 2021 | 50.31 Mn |
| Sep 30, 2021 | 64.47 Mn |
API Access
Cerence Accumulated 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=accumulated-expenses&ticker=CRNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=CRNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();