News (NWS) Receivables - Net (2013 - 2026)
Analysis
News (NWS) Receivables - Net (2013 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.76 Bn |
| Mar 31, 2026 | 1.78 Bn |
| Dec 31, 2025 | 1.89 Bn |
| Sep 30, 2025 | 1.64 Bn |
| Jun 30, 2025 | 1.56 Bn |
| Mar 31, 2025 | 1.54 Bn |
| Dec 31, 2024 | 1.66 Bn |
| Sep 30, 2024 | 1.70 Bn |
| Jun 30, 2024 | 1.42 Bn |
| Mar 31, 2024 | 1.44 Bn |
| Dec 31, 2023 | 1.52 Bn |
| Sep 30, 2023 | 1.56 Bn |
| Jun 30, 2023 | 1.43 Bn |
| Mar 31, 2023 | 1.54 Bn |
| Dec 31, 2022 | 1.64 Bn |
| Sep 30, 2022 | 1.47 Bn |
| Jun 30, 2022 | 1.50 Bn |
| Mar 31, 2022 | 1.53 Bn |
| Dec 31, 2021 | 1.67 Bn |
| Sep 30, 2021 | 1.50 Bn |
API Access
News Receivables - Net 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=receivables-net&ticker=NWS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=NWS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();