Warner Music (WMG) Selling, General & Administrative (2009 - 2026)
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Analysis
Warner Music (WMG) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Walt Disney | 205.42 Bn | 189.99 Bn | 11.57 Bn | 3.97 Bn |
| 2 | Warner Music | 16.90 Bn | 14.39 Bn | 854.00 Mn | 464.00 Mn |
| 3 | Lionsgate Studios | 4.18 Bn | 2.90 Bn | 240.40 Mn | 110.30 Mn |
| 4 | Angel Studios | 905.05 Mn | 728.30 Mn | 100.00 Mn | 12.89 Mn |
| 5 | Reservoir Media | 675.30 Mn | 590.68 Mn | 32.16 Mn | 11.44 Mn |
| 6 | Kartoon Studios | 31.10 Mn | -22.52 Mn | 1.19 Mn | 4.46 Mn |
| 7 | American Picture House | 4.55 Mn | 4.55 Mn | - | 56,481.00 |
| 8 | Nexus Advanced Technologies | 792,061.23 | -15.85 Mn | - | - |
| 9 | AI Era | 58,016.81 | -592,216.19 | - | 715,496.00 |
| 10 | Sony | 166.48 Bn | 103.89 Bn | 7.96 Bn | 3.95 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 464.00 Mn |
| Mar 31, 2026 | 460.00 Mn |
| Dec 31, 2025 | 458.00 Mn |
| Sep 30, 2025 | 494.00 Mn |
| Jun 30, 2025 | 471.00 Mn |
| Mar 31, 2025 | 450.00 Mn |
| Dec 31, 2024 | 474.00 Mn |
| Sep 30, 2024 | 495.00 Mn |
| Jun 30, 2024 | 462.00 Mn |
| Mar 31, 2024 | 446.00 Mn |
| Dec 31, 2023 | 476.00 Mn |
| Sep 30, 2023 | 473.00 Mn |
| Jun 30, 2023 | 461.00 Mn |
| Mar 31, 2023 | 452.00 Mn |
| Dec 31, 2022 | 440.00 Mn |
| Sep 30, 2022 | 470.00 Mn |
| Jun 30, 2022 | 451.00 Mn |
| Mar 31, 2022 | 444.00 Mn |
| Dec 31, 2021 | 497.00 Mn |
| Sep 30, 2021 | 465.00 Mn |
API Access
Warner Music 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=WMG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "WMG", "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=WMG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();