News Corp (NWS) Operating Expenses (2012 - 2026)
News (NWS) reported Operating Expenses of $991 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 8.1% from $917 million a year earlier and up 4.1% from the prior quarter.
News Corp (NWS) Operating Expenses (2012 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), News posted Operating Expenses of $3.89 billion, up 4.2% from FY2025.
- Operating Expenses has a five-year compound annual growth rate of -4.2% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $3.74 billion in FY2025 (-2.0%), $3.81 billion in FY2024 (-2.5%), $3.91 billion in FY2023 (-23.7%) and $5.12 billion in FY2022 (+6.1%).
- Five-year quarterly Operating Expenses spans a low of $58 million in fiscal Q4 2023 and a high of $1.36 billion in fiscal Q4 2022.
- Year over year, Operating Expenses has now increased in each of the last three quarters, with an average decline of 1.7% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2026 (growth of 8.1%); the low point was fiscal Q4 2023 (a decline of 95.7%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $952 million (Q3 2026), $1.01 billion (Q2 2026) and $941 million (Q1 2026).
Peer Comparison
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 |
News Corp 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_KEY
import 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();