Saga Communications (SGA) Operating Expenses (2010 - 2026)
Saga Communications (SGA) reported Operating Expenses of $23.44 million for Q2 2026, up 5.4% from $22.23 million a year earlier and up 6.5% from the prior quarter.
Saga Communications (SGA) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Saga Communications' Operating Expenses came in at $119.42 million, up 9.6% year-over-year; for FY2025, it came in at $118.16 million, up 6.9% from FY2024.
- Operating Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- By year, Operating Expenses came in at $110.56 million in FY2024 (+6.3%), $104.02 million in FY2023 (+2.2%), $101.82 million in FY2022 (+9.1%) and $93.29 million in FY2021 (-3.9%).
- Five-year quarterly Operating Expenses spans a low of $20.57 million in Q1 2022 and a high of $49.29 million in Q4 2025.
- Year over year, Operating Expenses has now increased in each of the last four quarters, with growth averaging 12.7% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2024 (growth of 80.4%); the low point was Q2 2025 (a decline of 4.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $22.01 million (Q1 2026), $49.29 million (Q4 2025) and $24.67 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.50 Bn | 63.16 Bn | 4.10 Bn | 8.48 Bn |
| 2 | Fox | 27.18 Bn | 13.09 Bn | - | 2.38 Bn |
| 3 | Omnicom | 20.60 Bn | 3.30 Bn | 1.30 Bn | 5.64 Bn |
| 4 | News | 16.19 Bn | 8.39 Bn | - | 991.00 Mn |
| 5 | Paramount Skydance | 11.39 Bn | 9.31 Bn | - | - |
| 6 | New York Times | 10.30 Bn | 7.79 Bn | 394.61 Mn | 644.44 Mn |
| 7 | Pearson | 10.14 Bn | 7.28 Bn | - | - |
| 8 | Sirius Xm Holdings | 8.74 Bn | 8.32 Bn | 1.44 Bn | 1.69 Bn |
| 9 | 36Kr Holdings | 6.25 Bn | 6.19 Bn | - | - |
| 10 | Saga Communications | 52.83 Mn | -63.52 Mn | - | 23.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.44 Mn |
| Mar 31, 2026 | 22.01 Mn |
| Dec 31, 2025 | 49.29 Mn |
| Sep 30, 2025 | 24.67 Mn |
| Jun 30, 2025 | 22.23 Mn |
| Mar 31, 2025 | 21.96 Mn |
| Dec 31, 2024 | 42.09 Mn |
| Sep 30, 2024 | 22.71 Mn |
| Jun 30, 2024 | 23.31 Mn |
| Mar 31, 2024 | 22.46 Mn |
| Dec 31, 2023 | 23.33 Mn |
| Sep 30, 2023 | 23.47 Mn |
| Jun 30, 2023 | 23.20 Mn |
| Mar 31, 2023 | 22.31 Mn |
| Dec 31, 2022 | 22.89 Mn |
| Sep 30, 2022 | 22.30 Mn |
| Jun 30, 2022 | 21.79 Mn |
| Mar 31, 2022 | 20.57 Mn |
| Dec 31, 2021 | 21.62 Mn |
| Sep 30, 2021 | 21.69 Mn |
Saga Communications Operating 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=operating-expenses&ticker=SGA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SGA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=SGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();