Townsquare Media (TSQ) Operating Expenses (2013 - 2026)
Townsquare Media (TSQ) posted Operating Expenses of $127.65 million for Q2 2026, up 35.2% from $94.4 million a year earlier and up 30.2% from the prior quarter.
Townsquare Media (TSQ) Operating Expenses (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Townsquare Media was $422.94 million, up 10.5% year-over-year; for FY2025, it was $383.18 million, down 10.7% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -3.0% (FY2020 to FY2025).
- In prior years, Townsquare Media's Operating Expenses was $429.29 million in FY2024 (-9.3%), $473.37 million in FY2023 (+16.2%), $407.49 million in FY2022 (+18.6%) and $343.48 million in FY2021 (-23.0%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q2 2024.
- On a year-over-year basis, Operating Expenses increased in three of the last eight quarters, with an average decline of 4.1%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2026, with growth of 35.2%; the weakest was Q2 2025, with a decline of 32.4%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $98.06 million (Q1 2026), $96.42 million (Q4 2025) and $100.82 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.70 Bn | 63.36 Bn | 4.10 Bn | 8.48 Bn |
| 2 | Fox | 27.78 Bn | 13.59 Bn | - | 2.38 Bn |
| 3 | Omnicom | 21.59 Bn | 3.29 Bn | 1.36 Bn | 5.43 Bn |
| 4 | News | 16.67 Bn | 8.16 Bn | - | 991.00 Mn |
| 5 | Pearson | 11.49 Bn | 8.60 Bn | - | - |
| 6 | New York Times | 11.30 Bn | 8.79 Bn | 394.61 Mn | 644.44 Mn |
| 7 | Sirius Xm Holdings | 9.19 Bn | 8.77 Bn | 1.44 Bn | 1.69 Bn |
| 8 | Skydance | 8.52 Bn | 8.52 Bn | - | - |
| 9 | Wpp | 5.60 Bn | -6.44 Bn | - | - |
| 10 | Townsquare Media | 54.70 Mn | 43.38 Mn | 30.84 Mn | 127.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 127.65 Mn |
| Mar 31, 2026 | 98.06 Mn |
| Dec 31, 2025 | 96.42 Mn |
| Sep 30, 2025 | 100.82 Mn |
| Jun 30, 2025 | 94.40 Mn |
| Mar 31, 2025 | 91.54 Mn |
| Dec 31, 2024 | 96.49 Mn |
| Sep 30, 2024 | 100.21 Mn |
| Jun 30, 2024 | 139.60 Mn |
| Mar 31, 2024 | 92.99 Mn |
| Dec 31, 2023 | 122.68 Mn |
| Sep 30, 2023 | 125.76 Mn |
| Jun 30, 2023 | 126.06 Mn |
| Mar 31, 2023 | 98.87 Mn |
| Dec 31, 2022 | 111.90 Mn |
| Sep 30, 2022 | 106.10 Mn |
| Jun 30, 2022 | 105.06 Mn |
| Mar 31, 2022 | 84.43 Mn |
| Dec 31, 2021 | 91.71 Mn |
| Sep 30, 2021 | 88.30 Mn |
Townsquare Media 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=TSQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TSQ", "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=TSQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();