News (NWS) Operating Expenses (2012 - 2026)
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Analysis
News (NWS) Operating Expenses (2012 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 991.00 Mn |
| Mar 31, 2026 | 952.00 Mn |
| Dec 31, 2025 | 1.01 Bn |
| Sep 30, 2025 | 941.00 Mn |
| Jun 30, 2025 | 917.00 Mn |
| Mar 31, 2025 | 904.00 Mn |
| Dec 31, 2024 | 963.00 Mn |
| Sep 30, 2024 | 952.00 Mn |
| Jun 30, 2024 | 928.00 Mn |
| Mar 31, 2024 | 938.00 Mn |
| Dec 31, 2023 | 970.00 Mn |
| Sep 30, 2023 | 1.27 Bn |
| Jun 30, 2023 | 58.00 Mn |
| Mar 31, 2023 | 1.29 Bn |
| Dec 31, 2022 | 1.29 Bn |
| Sep 30, 2022 | 1.27 Bn |
| Jun 30, 2022 | 1.36 Bn |
| Mar 31, 2022 | 1.25 Bn |
| Dec 31, 2021 | 1.28 Bn |
| Sep 30, 2021 | 1.24 Bn |
API Access
News Operating Expenses 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=operating-expenses&ticker=NWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=NWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();