Cerence (CRNC) Total Liabilities (2019 - 2026)
Cerence (CRNC) reported Total Liabilities of $454.58 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 5.5% from $481.13 million a year earlier and down 0.8% from the prior quarter.
Cerence (CRNC) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Cerence posted Total Liabilities of $479.92 million, down 14.5% from FY2024.
- Total Liabilities has declined for five consecutive fiscal years, with a five-year compound annual growth rate of -8.0% (FY2020 to FY2025).
- By fiscal year, Total Liabilities came in at $561.26 million in FY2024 (-6.9%), $602.72 million in FY2023 (-0.5%), $605.54 million in FY2022 (-10.1%) and $673.78 million in FY2021 (-7.4%).
- Five-year quarterly Total Liabilities spans a low of $451.6 million in fiscal Q1 2026 and a high of $673.78 million in fiscal Q4 2021.
- Year over year, Total Liabilities has now declined in each of the last five quarters, with an average decline of 7.8% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was fiscal Q2 2025 (growth of 2.9%); the low point was fiscal Q2 2024 (a decline of 16.3%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $458.41 million (Q2 2026), $451.6 million (Q1 2026) and $479.92 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.81 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.17 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.27 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 27.69 Bn |
| 10 | Cerence | 352.47 Mn | 346.49 Mn | 52.91 Mn | 454.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 454.58 Mn |
| Mar 31, 2026 | 458.41 Mn |
| Dec 31, 2025 | 451.60 Mn |
| Sep 30, 2025 | 479.92 Mn |
| Jun 30, 2025 | 481.13 Mn |
| Mar 31, 2025 | 538.85 Mn |
| Dec 31, 2024 | 496.83 Mn |
| Sep 30, 2024 | 561.26 Mn |
| Jun 30, 2024 | 519.78 Mn |
| Mar 31, 2024 | 523.69 Mn |
| Dec 31, 2023 | 533.78 Mn |
| Sep 30, 2023 | 602.72 Mn |
| Jun 30, 2023 | 609.36 Mn |
| Mar 31, 2023 | 626.02 Mn |
| Dec 31, 2022 | 628.44 Mn |
| Sep 30, 2022 | 605.54 Mn |
| Jun 30, 2022 | 626.73 Mn |
| Mar 31, 2022 | 646.34 Mn |
| Dec 31, 2021 | 642.92 Mn |
| Sep 30, 2021 | 673.78 Mn |
Cerence Total Liabilities 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=total-liabilities&ticker=CRNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CRNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();