Gray Media (GTN) Selling, General & Administrative (2010 - 2026)
Gray Media (GTN) recorded Selling, General & Administrative of $37 million in Q2 2026, up 48.0% from $25 million a year earlier but down 5.1% from the prior quarter.
Gray Media (GTN) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a TTM basis, Gray Media's Selling, General & Administrative came in at $132 million as of Jun 30, 2026, up 25.7% year-over-year; for FY2025, it came in at $113 million, up 8.7% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 11.7% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $104 million in FY2024 (-7.1%), $112 million in FY2023 (+7.7%), $104 million in FY2022 (-34.6%) and $159 million in FY2021 (+144.6%).
- Quarterly Selling, General & Administrative has ranged from $23 million in Q3 2023 to $84 million in Q4 2021 over the past five years.
- On a year-over-year basis, Selling, General & Administrative has increased for four consecutive quarters, with growth averaging 10.5% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 366.7% in Q4 2021, against a decline of 71.4% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $39 million (Q1 2026), $28 million (Q4 2025) and $28 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.70 Bn | 63.36 Bn | 4.10 Bn | 2.56 Bn |
| 2 | Fox | 28.99 Bn | 14.80 Bn | - | 637.00 Mn |
| 3 | Omnicom | 23.04 Bn | 5.13 Bn | 1.30 Bn | 209.00 Mn |
| 4 | News | 17.23 Bn | 8.72 Bn | - | 923.00 Mn |
| 5 | Pearson | 11.88 Bn | 8.99 Bn | - | - |
| 6 | New York Times | 11.26 Bn | 8.74 Bn | 394.61 Mn | 85.77 Mn |
| 7 | Sirius Xm Holdings | 9.30 Bn | 8.88 Bn | 1.44 Bn | 136.00 Mn |
| 8 | Skydance | 7.66 Bn | 5.58 Bn | - | - |
| 9 | Wpp | 5.70 Bn | -6.34 Bn | - | - |
| 10 | Gray Media | 452.27 Mn | -532.73 Mn | 248.00 Mn | 37.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.00 Mn |
| Mar 31, 2026 | 39.00 Mn |
| Dec 31, 2025 | 28.00 Mn |
| Sep 30, 2025 | 28.00 Mn |
| Jun 30, 2025 | 25.00 Mn |
| Mar 31, 2025 | 32.00 Mn |
| Dec 31, 2024 | 24.00 Mn |
| Sep 30, 2024 | 24.00 Mn |
| Jun 30, 2024 | 28.00 Mn |
| Mar 31, 2024 | 28.00 Mn |
| Dec 31, 2023 | 33.00 Mn |
| Sep 30, 2023 | 23.00 Mn |
| Jun 30, 2023 | 30.00 Mn |
| Mar 31, 2023 | 26.00 Mn |
| Dec 31, 2022 | 24.00 Mn |
| Sep 30, 2022 | 27.00 Mn |
| Jun 30, 2022 | 25.00 Mn |
| Mar 31, 2022 | 28.00 Mn |
| Dec 31, 2021 | 84.00 Mn |
| Sep 30, 2021 | 32.00 Mn |
Gray Media 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=GTN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "GTN", "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=GTN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();