Commvault Systems (CVLT) Total Liabilities (2010 - 2026)
Commvault Systems' Total Liabilities was $1.84 billion in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 126.5% from $811.7 million a year earlier but down 2.2% from the prior quarter.
Commvault Systems (CVLT) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Total Liabilities at Commvault Systems came in at $1.88 billion, up 136.9% from FY2025.
- Total Liabilities has now increased for 11 consecutive fiscal years, with a five-year compound annual growth rate of 29.8% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $793.14 million in FY2025 (+19.1%), $665.83 million in FY2024 (+11.6%), $596.48 million in FY2023 (+6.5%) and $560.25 million in FY2022 (+9.8%).
- Quarterly Total Liabilities has moved between $479.98 million (fiscal Q2 2022) and $1.88 billion (fiscal Q4 2026) over five years.
- Compared with a year earlier, Total Liabilities has increased for 24 straight quarters, with growth averaging 79.6% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Liabilities ranged from 4.8% (fiscal Q3 2022) to 150.7% (fiscal Q2 2026).
- Per Business Quant data, CVLT's Total Liabilities in the three fiscal quarters before Q1 2027 was $1.88 billion (Q4 2026), $1.82 billion (Q3 2026) and $1.71 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.81 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.17 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.27 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 27.69 Bn |
| 10 | Commvault Systems | 6.13 Bn | 2.22 Bn | 256.52 Mn | 1.84 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.84 Bn |
| Mar 31, 2026 | 1.88 Bn |
| Dec 31, 2025 | 1.82 Bn |
| Sep 30, 2025 | 1.71 Bn |
| Jun 30, 2025 | 811.70 Mn |
| Mar 31, 2025 | 793.14 Mn |
| Dec 31, 2024 | 735.91 Mn |
| Sep 30, 2024 | 680.69 Mn |
| Jun 30, 2024 | 653.12 Mn |
| Mar 31, 2024 | 665.83 Mn |
| Dec 31, 2023 | 629.47 Mn |
| Sep 30, 2023 | 591.17 Mn |
| Jun 30, 2023 | 569.72 Mn |
| Mar 31, 2023 | 596.48 Mn |
| Dec 31, 2022 | 569.93 Mn |
| Sep 30, 2022 | 514.53 Mn |
| Jun 30, 2022 | 522.24 Mn |
| Mar 31, 2022 | 560.25 Mn |
| Dec 31, 2021 | 515.10 Mn |
| Sep 30, 2021 | 479.98 Mn |
Commvault Systems Total Liabilities 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=total-liabilities&ticker=CVLT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CVLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();