C3.ai (AI) Property, Plant & Equipment (Net) (2020 - 2026)
C3.ai (AI) posted Property, Plant & Equipment (Net) of $63.57 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 17.0% from $76.6 million a year earlier and down 5.0% from the prior quarter.
C3.ai (AI) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), C3.ai's Property, Plant & Equipment (Net) came in at $66.9 million, down 15.6% from FY2025.
- Annual Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 61.3% (FY2021 to FY2026).
- In prior fiscal years, C3.ai's Property, Plant & Equipment (Net) was $79.3 million in FY2025 (-10.5%), $88.63 million in FY2024 (+4.8%), $84.58 million in FY2023 (+482.6%) and $14.52 million in FY2022 (+136.7%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Property, Plant & Equipment (Net) since fiscal Q2 2023.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined in each of the last nine quarters, with an average decline of 12.5% over the last eight quarters.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was fiscal Q1 2023, with growth of 584.5%; the weakest was fiscal Q3 2022, with a decline of 22.6%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior fiscal quarters was $66.9 million (Q4 2026), $70.8 million (Q3 2026) and $73.68 million (Q2 2026).
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 | C3.ai | 1.71 Bn | -815.39 Mn | 16.67 Mn | 63.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 63.57 Mn |
| Apr 30, 2026 | 66.90 Mn |
| Jan 31, 2026 | 70.80 Mn |
| Oct 31, 2025 | 73.68 Mn |
| Jul 31, 2025 | 76.60 Mn |
| Apr 30, 2025 | 79.30 Mn |
| Jan 31, 2025 | 81.91 Mn |
| Oct 31, 2024 | 84.20 Mn |
| Jul 31, 2024 | 86.48 Mn |
| Apr 30, 2024 | 88.63 Mn |
| Jan 31, 2024 | 91.00 Mn |
| Oct 31, 2023 | 92.65 Mn |
| Jul 31, 2023 | 88.67 Mn |
| Apr 30, 2023 | 84.58 Mn |
| Jan 31, 2023 | 75.20 Mn |
| Oct 31, 2022 | 61.72 Mn |
| Jul 31, 2022 | 38.93 Mn |
| Apr 30, 2022 | 14.52 Mn |
| Jan 31, 2022 | 5.30 Mn |
| Oct 31, 2021 | 5.24 Mn |
C3.ai 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=AI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "AI", "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=AI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();