Commvault Systems (CVLT) Operating Expenses (2009 - 2026)
Commvault Systems (CVLT) reported Operating Expenses of $230.8 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 12.0% from $206.11 million a year earlier but down 2.6% from the prior quarter.
Commvault Systems (CVLT) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Commvault Systems' Operating Expenses came in at $911.27 million, up 16.5% year-over-year; for FY2026 (ended Mar 31, 2026), it was $886.58 million, up 19.3% from FY2025.
- Operating Expenses has a five-year compound annual growth rate of 6.9% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $742.85 million in FY2025 (+21.3%), $612.28 million in FY2024 (-7.9%), $665.07 million in FY2023 (+8.3%) and $614.17 million in FY2022 (-3.5%).
- Five-year quarterly Operating Expenses spans a low of $144.12 million in fiscal Q1 2024 and a high of $237.05 million in fiscal Q4 2026.
- Year over year, Operating Expenses has now increased in each of the last nine quarters, with growth averaging 19.9% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q3 2025 (growth of 27.9%); the low point was fiscal Q2 2022 (a decline of 20.0%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $237.05 million (Q4 2026), $234.77 million (Q3 2026) and $208.65 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 499.67 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 534.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 4.17 Bn |
| 10 | Commvault Systems | 6.13 Bn | 2.22 Bn | 256.52 Mn | 230.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 230.80 Mn |
| Mar 31, 2026 | 237.05 Mn |
| Dec 31, 2025 | 234.77 Mn |
| Sep 30, 2025 | 208.65 Mn |
| Jun 30, 2025 | 206.11 Mn |
| Mar 31, 2025 | 200.55 Mn |
| Dec 31, 2024 | 200.40 Mn |
| Sep 30, 2024 | 175.45 Mn |
| Jun 30, 2024 | 166.46 Mn |
| Mar 31, 2024 | 165.96 Mn |
| Dec 31, 2023 | 156.70 Mn |
| Sep 30, 2023 | 145.51 Mn |
| Jun 30, 2023 | 144.12 Mn |
| Mar 31, 2023 | 206.34 Mn |
| Dec 31, 2022 | 155.52 Mn |
| Sep 30, 2022 | 146.44 Mn |
| Jun 30, 2022 | 156.78 Mn |
| Mar 31, 2022 | 162.46 Mn |
| Dec 31, 2021 | 160.06 Mn |
| Sep 30, 2021 | 149.00 Mn |
Commvault Systems Operating Expenses 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=operating-expenses&ticker=CVLT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CVLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();