Verisk Analytics, Inc. (VRSK) EV/Sales Ratio: 9.33x
Is Verisk Analytics, Inc.’s EV/Sales ratio high or low?
Verisk Analytics, Inc.'s EV/Sales ratio of 9.33x is 32% below its 5-year average of 13.63x, near the low end of its 5-year range (8.16x–18.55x).
As of Saturday, June 13, 2026. 18.69% below its 12-month average of 11.47x.
VRSK EV/Sales Ratio Chart
VRSK Average EV/Sales Ratio Chart
VRSK Current vs Average EV/Sales Ratio Chart
VRSK EV/Sales Ratio Metrics
EV/SALES RATIO
9.33x
EV/SALES RATIO AVG TTM
11.47x
EV/SALES RATIO AVG 3Y
14.30x
EV/SALES RATIO AVG 5Y
13.63x
EV/SALES RATIO AVG 10Y
11.82x
EV/SALES RATIO AVG 15Y
10.34x
EV/SALES RATIO AVG 20Y
9.87x
CURRENT VS TTM AVG
-18.69%
CURRENT VS 3Y AVG
-34.74%
CURRENT VS 5Y AVG
-31.54%
CURRENT VS 10Y AVG
-21.08%
CURRENT VS 15Y AVG
-9.75%
CURRENT VS 20Y AVG
-5.50%
VRSK Competitors' EV/Sales Ratio
| NAME | MARKET CAP | EV/SALES RATIO | TTM | 3Y | 5Y |
|---|---|---|---|---|---|
| Verisk Analytics, Inc. (VRSK) | $24.08B | 9.33x | 11.47x | 14.30x | 13.63x |
| Cognizant Technology Solutions Corporation (CTSH) | $24.72B | 1.14x | 1.60x | 1.77x | 1.86x |
| Atlassian Corporation (TEAM) | $23.25B | 3.75x | 6.52x | 10.68x | 16.73x |
| HP Inc. (HPQ) | $23.08B | 0.51x | 0.55x | 0.67x | 0.66x |
| VeriSign, Inc. (VRSN) | $25.47B | 16.05x | 15.99x | 15.05x | 16.17x |
| Fabrinet (FN) | $21.89B | 5.14x | 4.45x | 3.13x | 2.57x |
| Splunk Inc. (SPLK) | $26.44B | 6.68x | 6.42x | 7.49x | 9.01x |
| Zscaler, Inc. (ZS) | $20.94B | 6.84x | 13.26x | 14.19x | 22.05x |
| Fair Isaac Corporation (FICO) | $27.35B | 13.94x | 19.33x | 22.28x | 17.81x |
| Zoom Communications, Inc. (ZM) | $27.47B | 5.53x | 5.18x | 4.72x | 7.55x |
Understanding EV/Sales
Enterprise Value (EV) = Market Cap + Total Debt - Cash
Sales = Total Revenue (TTM)
EV/Sales is commonly used because:
- It works for unprofitable companies where P/E doesn't apply
- Revenue is harder to manipulate than earnings
- It supports comparisons across companies at different profitability stages
- It is frequently used for software and other revenue-growth-focused companies
Note: EV/Sales does not include margin, debt maturity, cash conversion, or growth durability by itself.
Verisk Analytics, Inc. EV/Sales Ratio Formula & Definition
EV/Sales = Enterprise Value / Revenue (TTM)
Enterprise value to sales compares total company value to revenue, useful across capital structures and for unprofitable companies.
Expanded definitions: Investopedia, Wikipedia, Corporate Finance Institute
Verisk Analytics, Inc. EV/Sales Ratio FAQ
- What is the EV/Sales ratio for Verisk Analytics, Inc. (VRSK)?
- The EV/Sales ratio for VRSK stock is 9.33x.
- Is Verisk Analytics, Inc.'s EV/Sales ratio high or low?
- Verisk Analytics, Inc.'s EV/Sales ratio of 9.33x is 32% below its 5-year average of 13.63x, near the low end of its 5-year range (8.16x–18.55x).
- What is the TTM average EV/Sales ratio for Verisk Analytics, Inc. (VRSK)?
- The TTM average EV/Sales ratio for VRSK stock is 11.47x.
- What is the 3Y average EV/Sales ratio for Verisk Analytics, Inc. (VRSK)?
- The 3Y average EV/Sales ratio for VRSK stock is 14.30x.
- What is the 5Y average EV/Sales ratio for Verisk Analytics, Inc. (VRSK)?
- The 5Y average EV/Sales ratio for VRSK stock is 13.63x.
- What is the 10Y average EV/Sales ratio for Verisk Analytics, Inc. (VRSK)?
- The 10Y average EV/Sales ratio for VRSK stock is 11.82x.
- What is the 15Y average EV/Sales ratio for Verisk Analytics, Inc. (VRSK)?
- The 15Y average EV/Sales ratio for VRSK stock is 10.34x.
- What is the 20Y average EV/Sales ratio for Verisk Analytics, Inc. (VRSK)?
- The 20Y average EV/Sales ratio for VRSK stock is 9.87x.
Verisk Analytics, Inc. EV/Sales Ratio History
| DATE | EV/SALES RATIO |
|---|---|
| 2026-06-12 | 9.33x |
| 2026-06-11 | 9.25x |
| 2026-06-10 | 9.30x |
| 2026-06-09 | 9.28x |
| 2026-06-08 | 9.12x |
| 2026-06-05 | 9.24x |
| 2026-06-04 | 9.17x |
| 2026-06-03 | 9.09x |
| 2026-06-02 | 9.13x |
| 2026-06-01 | 9.34x |
| 2026-05-29 | 8.95x |
| 2026-05-28 | 8.85x |
| 2026-05-27 | 8.80x |
| 2026-05-26 | 8.80x |
| 2026-05-22 | 8.78x |
| 2026-05-21 | 8.80x |
| 2026-05-20 | 8.76x |
| 2026-05-19 | 8.76x |
| 2026-05-18 | 8.80x |
| 2026-05-15 | 8.41x |
| 2026-05-14 | 8.16x |
| 2026-05-13 | 8.36x |
| 2026-05-12 | 8.57x |
| 2026-05-11 | 8.67x |
| 2026-05-08 | 8.81x |
| 2026-05-07 | 8.94x |
| 2026-05-06 | 8.77x |
| 2026-05-05 | 9.19x |
| 2026-05-04 | 9.11x |
| 2026-05-01 | 9.22x |
| 2026-04-30 | 9.36x |
| 2026-04-29 | 9.52x |
| 2026-04-28 | 8.93x |
| 2026-04-27 | 8.85x |
| 2026-04-24 | 8.97x |
| 2026-04-23 | 8.95x |
| 2026-04-22 | 9.03x |
| 2026-04-21 | 9.17x |
| 2026-04-20 | 9.07x |
| 2026-04-17 | 8.99x |
| 2026-04-16 | 9.00x |
| 2026-04-15 | 8.94x |
| 2026-04-14 | 8.66x |
| 2026-04-13 | 8.53x |
| 2026-04-10 | 8.37x |
| 2026-04-09 | 8.60x |
| 2026-04-08 | 8.87x |
| 2026-04-07 | 9.12x |
| 2026-04-06 | 9.29x |
| 2026-04-02 | 9.31x |
| 2026-04-01 | 9.24x |
| 2026-03-31 | 9.52x |
| 2026-03-30 | 9.41x |
| 2026-03-27 | 9.20x |
| 2026-03-26 | 9.34x |
| 2026-03-25 | 9.31x |
| 2026-03-24 | 9.75x |
| 2026-03-23 | 9.98x |
| 2026-03-20 | 10.06x |
| 2026-03-19 | 10.06x |
| 2026-03-18 | 10.18x |
| 2026-03-17 | 10.16x |
| 2026-03-16 | 10.20x |
| 2026-03-13 | 10.04x |
| 2026-03-12 | 9.90x |
| 2026-03-11 | 10.13x |
| 2026-03-10 | 10.11x |
| 2026-03-09 | 10.45x |
| 2026-03-06 | 10.66x |
| 2026-03-05 | 10.49x |
| 2026-03-04 | 10.69x |
| 2026-03-03 | 10.65x |
| 2026-03-02 | 10.65x |
| 2026-02-27 | 10.33x |
| 2026-02-26 | 10.10x |
| 2026-02-25 | 9.80x |
| 2026-02-24 | 9.59x |
| 2026-02-23 | 9.15x |
| 2026-02-20 | 9.19x |
| 2026-02-19 | 9.26x |
| 2026-02-18 | 9.26x |
| 2026-02-17 | 9.11x |
| 2026-02-13 | 9.29x |
| 2026-02-12 | 9.19x |
| 2026-02-11 | 8.94x |
| 2026-02-10 | 8.75x |
| 2026-02-09 | 9.15x |
| 2026-02-06 | 9.19x |
| 2026-02-05 | 9.45x |
| 2026-02-04 | 9.67x |
| 2026-02-03 | 9.81x |
| 2026-02-02 | 10.81x |
| 2026-01-30 | 10.96x |
| 2026-01-29 | 10.92x |
| 2026-01-28 | 11.04x |
| 2026-01-27 | 10.91x |
| 2026-01-26 | 11.07x |
| 2026-01-23 | 10.99x |
| 2026-01-22 | 11.01x |
| 2026-01-21 | 10.92x |
| 2026-01-20 | 11.01x |
| 2026-01-16 | 11.10x |
| 2026-01-15 | 11.18x |
| 2026-01-14 | 11.27x |
| 2026-01-13 | 11.18x |
| 2026-01-12 | 11.30x |
| 2026-01-09 | 11.31x |
| 2026-01-08 | 11.21x |
| 2026-01-07 | 11.06x |
| 2026-01-06 | 11.14x |
| 2026-01-05 | 11.11x |
| 2026-01-02 | 11.13x |
| 2025-12-31 | 11.25x |
| 2025-12-30 | 11.28x |
| 2025-12-29 | 11.30x |
| 2025-12-26 | 11.10x |
| 2025-12-24 | 11.03x |
| 2025-12-23 | 11.01x |
| 2025-12-22 | 11.10x |
| 2025-12-19 | 10.99x |
| 2025-12-18 | 11.01x |
| 2025-12-17 | 11.04x |
| 2025-12-16 | 10.97x |
| 2025-12-15 | 11.00x |
| 2025-12-12 | 10.95x |
| 2025-12-11 | 10.91x |
| 2025-12-10 | 10.83x |
| 2025-12-09 | 10.90x |
| 2025-12-08 | 11.03x |
| 2025-12-05 | 11.14x |
| 2025-12-04 | 11.18x |
| 2025-12-03 | 11.29x |
| 2025-12-02 | 11.30x |
| 2025-12-01 | 11.27x |
| 2025-11-28 | 11.31x |
| 2025-11-26 | 11.26x |
| 2025-11-25 | 11.22x |
| 2025-11-24 | 11.07x |
| 2025-11-21 | 11.23x |
| 2025-11-20 | 11.17x |
| 2025-11-19 | 11.31x |
| 2025-11-18 | 11.22x |
| 2025-11-17 | 11.04x |
| 2025-11-14 | 10.89x |
| 2025-11-13 | 10.97x |
| 2025-11-12 | 10.75x |
| 2025-11-11 | 10.86x |
| 2025-11-10 | 10.75x |
| 2025-11-07 | 10.83x |
| 2025-11-06 | 10.75x |
| 2025-11-05 | 10.81x |
| 2025-11-04 | 11.08x |
| 2025-11-03 | 10.87x |
| 2025-10-31 | 11.02x |
| 2025-10-30 | 10.97x |
| 2025-10-29 | 10.53x |
| 2025-10-28 | 11.85x |
| 2025-10-27 | 11.92x |
| 2025-10-24 | 11.98x |
| 2025-10-23 | 11.97x |
| 2025-10-22 | 12.10x |
| 2025-10-21 | 12.08x |
| 2025-10-20 | 11.99x |
| 2025-10-17 | 11.86x |
| 2025-10-16 | 11.70x |
| 2025-10-15 | 12.40x |
| 2025-10-14 | 12.37x |
| 2025-10-13 | 12.31x |
| 2025-10-10 | 12.36x |
| 2025-10-09 | 12.27x |
| 2025-10-08 | 12.38x |
| 2025-10-07 | 12.50x |
| 2025-10-06 | 12.45x |
| 2025-10-03 | 12.64x |
| 2025-10-02 | 12.56x |
| 2025-10-01 | 12.66x |
| 2025-09-30 | 12.76x |
| 2025-09-29 | 12.63x |
| 2025-09-26 | 12.55x |
| 2025-09-25 | 12.41x |
| 2025-09-24 | 12.35x |
| 2025-09-23 | 12.32x |
| 2025-09-22 | 12.41x |
| 2025-09-19 | 12.38x |
| 2025-09-18 | 12.47x |
| 2025-09-17 | 12.67x |
| 2025-09-16 | 12.77x |
| 2025-09-15 | 12.92x |
| 2025-09-12 | 13.26x |
| 2025-09-11 | 13.45x |
| 2025-09-10 | 13.29x |
| 2025-09-09 | 13.56x |
| 2025-09-08 | 13.77x |
| 2025-09-05 | 13.64x |
| 2025-09-04 | 13.63x |
| 2025-09-03 | 13.55x |
| 2025-09-02 | 13.39x |
| 2025-08-29 | 13.54x |
| 2025-08-28 | 13.45x |
| 2025-08-27 | 13.52x |
| 2025-08-26 | 13.55x |
| 2025-08-25 | 13.49x |
| 2025-08-22 | 13.67x |
| 2025-08-21 | 13.71x |
| 2025-08-20 | 13.66x |
| 2025-08-19 | 13.67x |
| 2025-08-18 | 13.42x |
| 2025-08-15 | 13.52x |
| 2025-08-14 | 13.52x |
| 2025-08-13 | 13.35x |
| 2025-08-12 | 13.15x |
| 2025-08-11 | 13.50x |
| 2025-08-08 | 13.39x |
| 2025-08-07 | 13.37x |
| 2025-08-06 | 13.39x |
| 2025-08-05 | 13.38x |
| 2025-08-04 | 13.53x |
| 2025-08-01 | 13.71x |
| 2025-07-31 | 14.03x |
| 2025-07-30 | 13.88x |
| 2025-07-29 | 15.10x |
| 2025-07-28 | 15.12x |
| 2025-07-25 | 15.29x |
| 2025-07-24 | 15.20x |
| 2025-07-23 | 15.26x |
| 2025-07-22 | 15.30x |
| 2025-07-21 | 15.37x |
| 2025-07-18 | 15.48x |
| 2025-07-17 | 15.52x |
| 2025-07-16 | 15.46x |
| 2025-07-15 | 15.40x |
| 2025-07-14 | 15.66x |
| 2025-07-11 | 15.42x |
| 2025-07-10 | 15.53x |
| 2025-07-09 | 15.57x |
| 2025-07-08 | 15.51x |
| 2025-07-07 | 15.78x |
| 2025-07-03 | 15.59x |
| 2025-07-02 | 15.45x |
| 2025-07-01 | 16.01x |
| 2025-06-30 | 15.94x |
| 2025-06-27 | 15.81x |
| 2025-06-26 | 15.64x |
| 2025-06-25 | 15.59x |
| 2025-06-24 | 15.87x |
| 2025-06-23 | 15.79x |
| 2025-06-20 | 15.68x |
| 2025-06-18 | 15.69x |
| 2025-06-17 | 15.74x |
| 2025-06-16 | 15.85x |
| 2025-06-13 | 15.89x |
| 2025-06-12 | 16.06x |
| 2025-06-11 | 15.94x |
| 2025-06-10 | 15.98x |
| 2025-06-09 | 16.03x |
| 2025-06-06 | 16.33x |
| 2025-06-05 | 16.38x |
| 2025-06-04 | 16.42x |
| 2025-06-03 | 16.23x |
| 2025-06-02 | 16.21x |
Showing the most recent 260 of 4,196 data points. The chart above shows the full history.
Related Metrics
About Verisk Analytics, Inc.
Verisk Analytics, Inc. is a global leader in providing advanced data analytics. It offers predictive insights and decision-making tools to a diverse clientele across numerous sectors. These include risk assessment (such as rating, underwriting, and claims), catastrophe and weather risk management, global risk analytics, natural resource intelligence, economic forecasting, commercial banking, finance, and many other specialized areas. The company's operations are organized into three primary divisions: Insurance, Energy and Specialized Markets, and Financial Services. Within the Insurance segment, Verisk assists property and casualty insurers by focusing on anticipating potential losses, accurately selecting and pricing risks, and ensuring regulatory compliance. This division develops sophisticated machine learning and artificial intelligence models to predict various scenarios and generate both standard and tailored analytics. These solutions empower clients to effectively manage their operations, encompassing early detection and post-event analysis of fraud, as well as precise loss quantification. The Energy and Specialized Markets segment delivers comprehensive data analytics for the entire natural resources value chain, spanning energy, chemicals, metals, mining, power, and renewable sectors. It also offers extensive research and advisory services, guiding clients on critical decisions related to capital allocation, asset appraisal and benchmarking, commodity market trends, and corporate performance. Additionally, this segment provides specialized consultancy in areas such as optimizing business environments, implementing improvements, developing strategic plans, offering commercial advice, and facilitating transaction support, along with expert analysis and guidance concerning assets, corporations, governmental bodies, and broader market dynamics. Finally, the Financial Services segment furnishes financial institutions, payment networks and processors, alternative lenders, regulatory bodies, and merchants with essential benchmarking tools, advanced decisioning algorithms, business intelligence solutions, and bespoke analytical services. Established in 1971, Verisk Analytics, Inc. maintains its headquarters in Jersey City, New Jersey.
- Sector
- Technology
- Industry
- Software - Services
- CEO
- Lee Shavel