News (NWS) Change in Accrued Expenses (2012 - 2026)
News' Change in Accrued Expenses was $49 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), compared with -$44 million a year earlier and down 59.5% from the prior quarter.
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Analysis
News (NWS) Change in Accrued Expenses (2012 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Change in Accrued Expenses at News came in at $59 million.
- Change in Accrued Expenses shows a five-year compound annual growth rate of -30.5% (FY2021 to FY2026).
- In earlier fiscal years, Change in Accrued Expenses was -$64 million in FY2025, -$81 million in FY2024, $80 million in FY2023 (+77.8%) and $45 million in FY2022 (-87.6%).
- Quarterly Change in Accrued Expenses has moved between -$240 million (fiscal Q1 2022) and $212 million (fiscal Q3 2022) over five years.
- The best year-over-year quarter for Change in Accrued Expenses over five years was fiscal Q3 2024 (growth of 16.6%); the worst was fiscal Q4 2022 (a decline of 47.6%).
- Per Business Quant data, NWS's Change in Accrued Expenses in the three fiscal quarters before Q4 2026 was $121 million (Q3 2026), $30 million (Q2 2026) and -$141 million (Q1 2026).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.00 Mn |
| Mar 31, 2026 | 121.00 Mn |
| Dec 31, 2025 | 30.00 Mn |
| Sep 30, 2025 | -141.00 Mn |
| Jun 30, 2025 | -44.00 Mn |
| Mar 31, 2025 | 120.00 Mn |
| Dec 31, 2024 | -46.00 Mn |
| Sep 30, 2024 | -94.00 Mn |
| Jun 30, 2024 | 24.00 Mn |
| Mar 31, 2024 | 190.00 Mn |
| Dec 31, 2023 | -98.00 Mn |
| Sep 30, 2023 | -197.00 Mn |
| Jun 30, 2023 | 43.00 Mn |
| Mar 31, 2023 | 163.00 Mn |
| Dec 31, 2022 | 42.00 Mn |
| Sep 30, 2022 | -168.00 Mn |
| Jun 30, 2022 | 75.00 Mn |
| Mar 31, 2022 | 212.00 Mn |
| Dec 31, 2021 | -2.00 Mn |
| Sep 30, 2021 | -240.00 Mn |
API Access
News Change in Accrued 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=change-in-accured-expenses&ticker=NWS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=NWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();