Gen Digital (GENVR) Revenue (2009 - 2026)
Analysis
Gen Digital (GENVR) Revenue (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 2, 2026 | 1.37 Bn |
| Jul 3, 2026 | 1.34 Bn |
| Apr 3, 2026 | 1.28 Bn |
| Jan 2, 2026 | 1.24 Bn |
| Oct 3, 2025 | 1.22 Bn |
| Jul 4, 2025 | 1.26 Bn |
| Mar 28, 2025 | 1.01 Bn |
| Dec 27, 2024 | 986.00 Mn |
| Sep 27, 2024 | 974.00 Mn |
| Jun 28, 2024 | 965.00 Mn |
| Mar 29, 2024 | 964.00 Mn |
| Dec 29, 2023 | 948.00 Mn |
| Sep 29, 2023 | 945.00 Mn |
| Jun 30, 2023 | 943.00 Mn |
| Mar 31, 2023 | 926.00 Mn |
| Dec 30, 2022 | 936.00 Mn |
| Sep 30, 2022 | 748.00 Mn |
| Jul 1, 2022 | 707.00 Mn |
| Apr 1, 2022 | 716.00 Mn |
| Dec 31, 2021 | 702.00 Mn |
API Access
Gen Digital Revenue 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=revenue&ticker=GENVR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "ticker": "GENVR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=revenue&ticker=GENVR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();