Cerence (CRNC) Property, Plant & Equipment (Net) (2019 - 2026)
Cerence (CRNC) recorded Property, Plant & Equipment (Net) of $31.38 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 10.0% from $34.86 million a year earlier and down 7.7% from the prior quarter.
Cerence (CRNC) Property, Plant & Equipment (Net) (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Cerence reported Property, Plant & Equipment (Net) of $35.76 million, up 18.7% from FY2024.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- Across earlier fiscal years, Property, Plant & Equipment (Net) came in at $30.14 million in FY2024 (-11.4%), $34.01 million in FY2023 (-9.8%), $37.71 million in FY2022 (+19.7%) and $31.51 million in FY2021 (+6.7%).
- The fiscal Q3 2026 figure is the lowest quarterly Property, Plant & Equipment (Net) since fiscal Q2 2025.
- On a year-over-year basis, Property, Plant & Equipment (Net) rose in four of the last eight quarters, with growth averaging 3.9%.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 25.9% in fiscal Q2 2022, against a decline of 12.0% in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $33.98 million (Q2 2026), $36.42 million (Q1 2026) and $35.76 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 523.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 1.17 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 1.70 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 207.98 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 409.63 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 33.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 341.51 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | 753.00 Mn |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 38.99 Mn |
| 10 | Cerence | 365.57 Mn | 359.59 Mn | 52.91 Mn | 31.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.38 Mn |
| Mar 31, 2026 | 33.98 Mn |
| Dec 31, 2025 | 36.42 Mn |
| Sep 30, 2025 | 35.76 Mn |
| Jun 30, 2025 | 34.86 Mn |
| Mar 31, 2025 | 29.41 Mn |
| Dec 31, 2024 | 29.37 Mn |
| Sep 30, 2024 | 30.14 Mn |
| Jun 30, 2024 | 30.73 Mn |
| Mar 31, 2024 | 32.24 Mn |
| Dec 31, 2023 | 32.63 Mn |
| Sep 30, 2023 | 34.01 Mn |
| Jun 30, 2023 | 34.92 Mn |
| Mar 31, 2023 | 35.63 Mn |
| Dec 31, 2022 | 36.95 Mn |
| Sep 30, 2022 | 37.71 Mn |
| Jun 30, 2022 | 38.03 Mn |
| Mar 31, 2022 | 37.18 Mn |
| Dec 31, 2021 | 34.44 Mn |
| Sep 30, 2021 | 31.51 Mn |
Cerence Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=CRNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=CRNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();