Light & Wonder (LNWO) Selling, General & Administrative (2009 - 2026)
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Analysis
Light & Wonder (LNWO) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 212.00 Mn |
| Jun 30, 2026 | 211.00 Mn |
| Mar 31, 2026 | 237.00 Mn |
| Dec 31, 2025 | 225.00 Mn |
| Sep 30, 2025 | 219.00 Mn |
| Jun 30, 2025 | 208.00 Mn |
| Mar 31, 2025 | 217.00 Mn |
| Dec 31, 2024 | 215.00 Mn |
| Sep 30, 2024 | 220.00 Mn |
| Jun 30, 2024 | 220.00 Mn |
| Mar 31, 2024 | 218.00 Mn |
| Dec 31, 2023 | 209.00 Mn |
| Sep 30, 2023 | 204.00 Mn |
| Jun 30, 2023 | 203.00 Mn |
| Mar 31, 2023 | 192.00 Mn |
| Dec 31, 2022 | 182.00 Mn |
| Sep 30, 2022 | 181.00 Mn |
| Jun 30, 2022 | 179.00 Mn |
| Mar 31, 2022 | 175.00 Mn |
| Dec 31, 2021 | 177.00 Mn |
API Access
Light & Wonder Selling, General & Administrative 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=selling-general-and-administrative&ticker=LNWO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "LNWO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=LNWO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();