C3.ai (AI) Research & Development (2020 - 2026)
C3.ai's Research & Development was $46.55 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 28.0% from $64.65 million a year earlier and down 1.5% from the prior quarter.
Powered by 
Analysis
C3.ai (AI) Research & Development (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, C3.ai's Research & Development was $210.99 million through Jul 31, 2026, down 11.4% year-over-year; for FY2026 (ended Apr 30, 2026), it was $229.09 million, up 1.2% from FY2025.
- Research & Development shows a five-year compound annual growth rate of 27.2% (FY2021 to FY2026).
- In earlier fiscal years, Research & Development was $226.39 million in FY2025 (+12.4%), $201.37 million in FY2024 (-4.4%), $210.66 million in FY2023 (+39.9%) and $150.54 million in FY2022 (+118.6%).
- The fiscal Q1 2027 figure marks the lowest quarterly Research & Development since fiscal Q4 2022.
- Compared with a year earlier, Research & Development has declined for three straight quarters, with growth averaging 3.1% over the last eight quarters.
- The best year-over-year quarter for Research & Development over five years was fiscal Q2 2022 (growth of 126.4%); the worst was fiscal Q1 2027 (a decline of 28.0%).
- Per Business Quant data, AI's Research & Development in the three fiscal quarters before Q1 2027 was $47.26 million (Q4 2026), $58.82 million (Q3 2026) and $58.35 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 779.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 444.20 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 225.00 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 567.48 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 477.97 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 208.69 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 163.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 679.00 Mn |
| 10 | C3.ai | 1.61 Bn | -909.94 Mn | 16.67 Mn | 46.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 46.55 Mn |
| Apr 30, 2026 | 47.26 Mn |
| Jan 31, 2026 | 58.82 Mn |
| Oct 31, 2025 | 58.35 Mn |
| Jul 31, 2025 | 64.65 Mn |
| Apr 30, 2025 | 58.39 Mn |
| Jan 31, 2025 | 59.36 Mn |
| Oct 31, 2024 | 55.72 Mn |
| Jul 31, 2024 | 52.93 Mn |
| Apr 30, 2024 | 50.62 Mn |
| Jan 31, 2024 | 49.48 Mn |
| Oct 31, 2023 | 50.40 Mn |
| Jul 31, 2023 | 50.87 Mn |
| Apr 30, 2023 | 49.68 Mn |
| Jan 31, 2023 | 55.05 Mn |
| Oct 31, 2022 | 50.05 Mn |
| Jul 31, 2022 | 55.88 Mn |
| Apr 30, 2022 | 46.38 Mn |
| Jan 31, 2022 | 40.93 Mn |
| Oct 31, 2021 | 36.52 Mn |
API Access
C3.ai Research & Development 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=research-and-development&ticker=AI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=AI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();