Commvault Systems (CVLT) Research & Development (2009 - 2026)
Commvault Systems (CVLT) reported Research & Development of $42.29 million for fiscal Q2 2027 (quarter ended Sep 30, 2026), up 6.1% from $39.86 million a year earlier and up 7.0% from the prior quarter.
Commvault Systems (CVLT) Research & Development (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Commvault Systems' Research & Development came in at $164.13 million, up 3.1% year-over-year; for FY2026 (ended Mar 31, 2026), it was $162.21 million, up 10.9% from FY2025.
- Research & Development has a five-year compound annual growth rate of 4.0% (FY2021 to FY2026).
- By fiscal year, Research & Development came in at $146.29 million in FY2025 (+10.5%), $132.33 million in FY2024 (-6.7%), $141.85 million in FY2023 (-7.7%) and $153.62 million in FY2022 (+15.2%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Research & Development in data going back to fiscal Q1 2010.
- Year over year, Research & Development gained in seven of the last eight quarters, with growth averaging 9.9%.
- The high point for year-over-year Research & Development in five years was fiscal Q1 2026 (growth of 21.0%); the low point was fiscal Q1 2024 (a decline of 21.6%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $39.54 million (Q1 2027), $40.06 million (Q4 2026) and $42.23 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 779.00 Mn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 444.20 Mn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 567.48 Mn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 213.40 Mn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 491.57 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 241.48 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 163.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 208.69 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 213.87 Mn |
| 10 | Commvault Systems | 6.54 Bn | 2.79 Bn | 253.52 Mn | 42.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 42.29 Mn |
| Jun 30, 2026 | 39.54 Mn |
| Mar 31, 2026 | 40.06 Mn |
| Dec 31, 2025 | 42.23 Mn |
| Sep 30, 2025 | 39.86 Mn |
| Jun 30, 2025 | 40.06 Mn |
| Mar 31, 2025 | 39.33 Mn |
| Dec 31, 2024 | 40.01 Mn |
| Sep 30, 2024 | 33.84 Mn |
| Jun 30, 2024 | 33.10 Mn |
| Mar 31, 2024 | 35.24 Mn |
| Dec 31, 2023 | 34.39 Mn |
| Sep 30, 2023 | 31.26 Mn |
| Jun 30, 2023 | 31.43 Mn |
| Mar 31, 2023 | 32.18 Mn |
| Dec 31, 2022 | 32.51 Mn |
| Sep 30, 2022 | 37.05 Mn |
| Jun 30, 2022 | 40.11 Mn |
| Mar 31, 2022 | 40.50 Mn |
| Dec 31, 2021 | 39.26 Mn |
Commvault Systems 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=CVLT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "CVLT", "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=CVLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();