News (NWS) Revenue (2012 - 2026)
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Analysis
News (NWS) Revenue (2012 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.34 Bn |
| Mar 31, 2026 | 2.19 Bn |
| Dec 31, 2025 | 2.36 Bn |
| Sep 30, 2025 | 2.14 Bn |
| Jun 30, 2025 | 2.11 Bn |
| Mar 31, 2025 | 2.01 Bn |
| Dec 31, 2024 | 2.24 Bn |
| Sep 30, 2024 | 2.10 Bn |
| Jun 30, 2024 | 2.09 Bn |
| Mar 31, 2024 | 1.99 Bn |
| Dec 31, 2023 | 2.14 Bn |
| Sep 30, 2023 | 2.03 Bn |
| Jun 30, 2023 | 566.00 Mn |
| Mar 31, 2023 | 2.45 Bn |
| Dec 31, 2022 | 2.52 Bn |
| Sep 30, 2022 | 2.48 Bn |
| Jun 30, 2022 | 2.67 Bn |
| Mar 31, 2022 | 2.49 Bn |
| Dec 31, 2021 | 2.72 Bn |
| Sep 30, 2021 | 2.50 Bn |
API Access
News 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=NWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "ticker": "NWS", "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=NWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();