Verisign (VRSN) Buildings (2010 - 2025)
Verisign's Buildings was $266.7 million in Q4 2025, up 0.7% from $264.8 million a year earlier.
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Analysis
Verisign (VRSN) Buildings (2010 - 2025) Analysis & Trends
From Q4 2010 onward, Verisign has reported Buildings for 17 quarters.
- Buildings has now increased for 13 consecutive years, with a five-year compound annual growth rate of 1.3% (FY2020 to FY2025).
- In earlier years, Buildings was $264.8 million in FY2024 (+1.3%), $261.3 million in FY2023 (+1.5%), $257.5 million in FY2022 (+1.2%) and $254.5 million in FY2021 (+1.6%).
- The Q4 2025 figure marks the highest quarterly Buildings in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,946.32 Bn | 3,869.48 Bn | 60.48 Bn |
| 2 | International Business Machines | 226.86 Bn | 177.67 Bn | 9.91 Bn |
| 3 | Cloudflare | 104.60 Bn | 88.12 Bn | 499.52 Mn |
| 4 | Equinix | 97.25 Bn | 85.81 Bn | 1.40 Bn |
| 5 | Nebius | 41.41 Bn | 14.84 Bn | 448.70 Mn |
| 6 | CoreWeave | 34.75 Bn | 21.84 Bn | 1.70 Bn |
| 7 | Verisign | 27.88 Bn | 25.09 Bn | 384.60 Mn |
| 8 | Nutanix | 18.21 Bn | 9.90 Bn | 651.35 Mn |
| 9 | GoDaddy | 14.25 Bn | 9.83 Bn | 828.20 Mn |
| 10 | Akamai Technologies | 13.01 Bn | 6.42 Bn | 613.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 266.70 Mn |
| Dec 31, 2024 | 264.80 Mn |
| Dec 31, 2023 | 261.30 Mn |
| Sep 30, 2023 | 260.20 Mn |
| Dec 31, 2022 | 257.50 Mn |
| Dec 31, 2021 | 254.50 Mn |
| Dec 31, 2020 | 250.43 Mn |
| Dec 31, 2019 | 248.89 Mn |
| Dec 31, 2018 | 247.87 Mn |
| Dec 31, 2017 | 246.65 Mn |
| Dec 31, 2016 | 246.24 Mn |
| Dec 31, 2015 | 244.76 Mn |
| Dec 31, 2014 | 243.30 Mn |
| Dec 31, 2013 | 240.57 Mn |
| Dec 31, 2012 | 236.17 Mn |
| Dec 31, 2011 | 239.28 Mn |
| Dec 31, 2010 | 131.27 Mn |
API Access
Verisign Buildings 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=buildings&ticker=VRSN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "VRSN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=buildings&ticker=VRSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();