News Corp (NWS) Accumulated Expenses (2013 - 2026)
News (NWS) posted Accumulated Expenses of $1.08 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 4.2% from $1.04 billion a year earlier and up 3.7% from the prior quarter.
News Corp (NWS) Accumulated Expenses (2013 - 2026) Analysis & Trends
Since fiscal Q4 2013, News has reported Accumulated Expenses for 53 quarters.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of -4.2% (FY2021 to FY2026).
- In prior fiscal years, News' Accumulated Expenses was $1.04 billion in FY2025 (+5.1%), $986 million in FY2024 (-12.2%), $1.12 billion in FY2023 (-9.1%) and $1.24 billion in FY2022 (-7.7%).
- The fiscal Q4 2026 figure stands as the highest quarterly Accumulated Expenses since fiscal Q1 2025.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last three quarters, with an average decline of 5.0% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q1 2022, with growth of 10.7%; the weakest was fiscal Q2 2025, with a decline of 24.0%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $1.04 billion (Q3 2026), $885 million (Q2 2026) and $949 million (Q1 2026).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.08 Bn |
| Mar 31, 2026 | 1.04 Bn |
| Dec 31, 2025 | 885.00 Mn |
| Sep 30, 2025 | 949.00 Mn |
| Jun 30, 2025 | 1.04 Bn |
| Mar 31, 2025 | 1.01 Bn |
| Dec 31, 2024 | 832.00 Mn |
| Sep 30, 2024 | 1.21 Bn |
| Jun 30, 2024 | 986.00 Mn |
| Mar 31, 2024 | 1.24 Bn |
| Dec 31, 2023 | 1.10 Bn |
| Sep 30, 2023 | 1.15 Bn |
| Jun 30, 2023 | 1.12 Bn |
| Mar 31, 2023 | 1.16 Bn |
| Dec 31, 2022 | 1.05 Bn |
| Sep 30, 2022 | 1.10 Bn |
| Jun 30, 2022 | 1.24 Bn |
| Mar 31, 2022 | 1.29 Bn |
| Dec 31, 2021 | 1.12 Bn |
| Sep 30, 2021 | 1.17 Bn |
News Corp Accumulated 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=accumulated-expenses&ticker=NWS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=NWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();