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Company | Country | Symbol |
---|
Time | Volume | VRSK |
---|---|---|
09:32 ET | 4585 | 291.07 |
09:39 ET | 429 | 291.644 |
09:42 ET | 200 | 291.74 |
09:46 ET | 1000 | 291.49 |
09:48 ET | 300 | 292.06 |
09:50 ET | 475 | 292.24 |
09:51 ET | 444 | 292.41 |
09:53 ET | 500 | 292.54 |
09:55 ET | 100 | 292.81 |
09:57 ET | 200 | 292.725 |
10:00 ET | 1550 | 292.96 |
10:02 ET | 1568 | 293.05 |
10:04 ET | 500 | 292.7 |
10:06 ET | 100 | 292.42 |
10:08 ET | 500 | 292.39 |
10:09 ET | 500 | 292.86 |
10:11 ET | 709 | 292.82 |
10:13 ET | 530 | 292.5 |
10:15 ET | 500 | 292.46 |
10:18 ET | 100 | 292.6 |
10:20 ET | 100 | 292.625 |
10:22 ET | 915 | 292.645 |
10:24 ET | 1706 | 292.27 |
10:26 ET | 895 | 292.24 |
10:27 ET | 800 | 292.26 |
10:31 ET | 267 | 292.52 |
10:33 ET | 810 | 292.435 |
10:36 ET | 800 | 292.255 |
10:38 ET | 300 | 292.29 |
10:40 ET | 314 | 292.2685 |
10:44 ET | 1100 | 292.63 |
10:45 ET | 119 | 292.7246 |
10:49 ET | 200 | 292.84 |
10:51 ET | 255 | 292.86 |
10:54 ET | 1999 | 292.305 |
10:58 ET | 600 | 291.995 |
11:00 ET | 694 | 291.76 |
11:02 ET | 300 | 291.75 |
11:03 ET | 1200 | 291.15 |
11:05 ET | 1200 | 290.91 |
11:07 ET | 1072 | 290.76 |
11:09 ET | 200 | 290.6 |
11:12 ET | 100 | 290.87 |
11:14 ET | 200 | 290.845 |
11:18 ET | 200 | 290.925 |
11:20 ET | 700 | 290.42 |
11:23 ET | 459 | 290.315 |
11:25 ET | 100 | 290.3525 |
11:27 ET | 1358 | 290.28 |
11:30 ET | 1500 | 290.19 |
11:32 ET | 1295 | 289.9275 |
11:34 ET | 1600 | 290.37 |
11:36 ET | 1715 | 290.625 |
11:38 ET | 500 | 290.85 |
11:39 ET | 1200 | 290.2 |
11:41 ET | 100 | 290.435 |
11:43 ET | 400 | 290.52 |
11:45 ET | 600 | 290.82 |
11:48 ET | 400 | 290.925 |
11:50 ET | 889 | 290.66 |
11:56 ET | 370 | 290.6856 |
11:59 ET | 300 | 290.51 |
12:06 ET | 1016 | 290.56 |
12:08 ET | 500 | 290.77 |
12:10 ET | 600 | 290.55 |
12:12 ET | 100 | 290.765 |
12:14 ET | 100 | 290.77 |
12:15 ET | 100 | 290.765 |
12:17 ET | 421 | 290.74 |
12:19 ET | 810 | 291.02 |
12:21 ET | 300 | 291.09 |
12:24 ET | 400 | 291.27 |
12:26 ET | 100 | 291.525 |
12:28 ET | 412 | 291.525 |
12:30 ET | 3213 | 291.215 |
12:32 ET | 1100 | 291.215 |
12:33 ET | 900 | 291.39 |
12:37 ET | 400 | 292.07 |
12:39 ET | 200 | 291.75 |
12:42 ET | 1815 | 291.73 |
12:44 ET | 298 | 291.8 |
12:46 ET | 2473 | 291.32 |
12:48 ET | 200 | 291.515 |
12:51 ET | 496 | 291.59 |
12:53 ET | 824 | 291.665 |
12:55 ET | 212 | 291.49 |
12:57 ET | 487 | 291.7099 |
01:00 ET | 1200 | 291.41 |
01:02 ET | 100 | 291.74 |
01:04 ET | 600 | 291.865 |
01:06 ET | 200 | 292.06 |
01:13 ET | 200 | 291.885 |
01:20 ET | 400 | 291.97 |
01:22 ET | 200 | 291.945 |
01:24 ET | 600 | 291.73 |
01:26 ET | 1217 | 292.125 |
01:31 ET | 1543 | 292.045 |
01:36 ET | 200 | 292 |
01:38 ET | 100 | 292.21 |
01:42 ET | 574 | 292.23 |
01:49 ET | 200 | 292.2 |
01:51 ET | 642 | 292.01 |
01:56 ET | 400 | 292.045 |
01:58 ET | 300 | 292.18 |
02:00 ET | 100 | 292.39 |
02:03 ET | 1233 | 292.62 |
02:05 ET | 500 | 292.37 |
02:09 ET | 100 | 292.125 |
02:14 ET | 407 | 292.095 |
02:18 ET | 200 | 292.075 |
02:20 ET | 325 | 292.02 |
02:21 ET | 323 | 292.045 |
02:23 ET | 100 | 292.09 |
02:25 ET | 1370 | 292.13 |
02:27 ET | 450 | 292.05 |
02:30 ET | 211 | 292.125 |
02:32 ET | 624 | 292 |
02:34 ET | 3933 | 292 |
02:36 ET | 6957 | 291.86 |
02:38 ET | 1859 | 291.97 |
02:39 ET | 1126 | 291.66 |
02:41 ET | 100 | 291.66 |
02:43 ET | 1800 | 291.66 |
02:45 ET | 1200 | 291.65 |
02:48 ET | 400 | 291.685 |
02:50 ET | 300 | 291.68 |
02:52 ET | 2300 | 291.54 |
02:54 ET | 1255 | 291.53 |
02:56 ET | 925 | 291.505 |
02:57 ET | 1000 | 291.37 |
02:59 ET | 500 | 291.365 |
03:01 ET | 100 | 291.4 |
03:03 ET | 400 | 291.49 |
03:06 ET | 300 | 291.59 |
03:10 ET | 700 | 291.81 |
03:12 ET | 316 | 291.875 |
03:14 ET | 1213 | 292.075 |
03:15 ET | 500 | 291.91 |
03:17 ET | 153 | 291.89 |
03:19 ET | 400 | 291.65 |
03:24 ET | 1051 | 291.47 |
03:26 ET | 300 | 291.29 |
03:28 ET | 100 | 291.2725 |
03:30 ET | 1396 | 291.535 |
03:33 ET | 350 | 291.14 |
03:35 ET | 100 | 291.07 |
03:37 ET | 1100 | 291.26 |
03:39 ET | 100 | 291.17 |
03:42 ET | 831 | 291.355 |
03:44 ET | 1320 | 291.62 |
03:46 ET | 2319 | 291.3 |
03:48 ET | 800 | 291.39 |
03:50 ET | 119 | 291.27 |
03:51 ET | 2417 | 291.46 |
03:53 ET | 2219 | 291.27 |
03:55 ET | 8540 | 290.83 |
03:57 ET | 6162 | 291.36 |
04:00 ET | 246798 | 291.49 |
Company sortable | Market Cap sortable | P/E Ratio (TTM) sortable | EPS Growth (5yr) sortable |
---|---|---|---|
Verisk Analytics Inc | 41.1B | 45.0x | +7.92% |
CoStar Group Inc | 32.7B | 186.5x | +7.09% |
Cloudflare Inc | 35.8B | -374.8x | --- |
Snowflake Inc | 56.1B | -50.6x | --- |
Pinterest Inc | 20.3B | 97.2x | --- |
Gartner Inc | 40.1B | 38.3x | +54.19% |
Verisk Analytics, Inc. is a data, analytics, and technology provider serving clients in the insurance ecosystem. The Company offers predictive analytics and decision support solutions to clients in rating, underwriting, claims, catastrophe, weather risk, and many other fields. Its Insurance segment primarily serves its property and casualty insurance customers across personal and commercial lines of business, focusing on insurance programs, the prediction of loss, the selection and pricing of risk, and compliance with their reporting requirements in each United States state in which they operate. It also develops and utilize machine learned and artificially intelligent models to forecast scenarios and produce both standard and customized analytics that help its customers better manage their businesses, including detecting fraud before and after a loss event and quantifying losses. It also helps businesses and governments anticipate and manage climate and weather-related risks.
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Market Cap | $41.1B |
---|---|
Revenue (TTM) | $2.8B |
Shares Outstanding | 141.2M |
Dividend Yield | 0.54% |
Annual Dividend Rate | 1.5600 USD |
Ex-Dividend Date | 12-13-24 |
Pay Date | 12-31-24 |
Beta | 0.87 |
EPS | $6.48 |
Book Value | $2.16 |
P/E Ratio | 45.0x |
Price/Sales (TTM) | 14.5 |
Price/Cash Flow (TTM) | 33.0x |
Operating Margin | 42.21% |
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