Turtle Beach (TBCH) Operating Expenses (2010 - 2026)
Turtle Beach (TBCH) posted Operating Expenses of $24.91 million for Q2 2026, up 34.0% from $18.59 million a year earlier but down 1.7% from the prior quarter.
Turtle Beach (TBCH) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Turtle Beach was $101.61 million, up 3.0% year-over-year; for FY2025, it was $91.77 million, down 15.8% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 1.6% (FY2020 to FY2025).
- In prior years, Turtle Beach's Operating Expenses was $108.95 million in FY2024 (+18.5%), $91.95 million in FY2023 (-8.7%), $100.67 million in FY2022 (-6.7%) and $107.95 million in FY2021 (+27.6%).
- Quarterly Operating Expenses has run from a low of $18.59 million in Q2 2025 to a high of $30.56 million in Q4 2024 over five years.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with growth averaging 6.9%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2024, with growth of 37.1%; the weakest was Q2 2025, with a decline of 31.6%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $25.36 million (Q1 2026), $26.65 million (Q4 2025) and $24.69 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 28.09 Bn | 25.76 Bn | 860.34 Mn | 680.96 Mn |
| 2 | Somnigroup International | 13.41 Bn | 12.95 Bn | 817.20 Mn | - |
| 3 | Hni | 3.30 Bn | 2.87 Bn | 647.20 Mn | 550.90 Mn |
| 4 | Newell Brands | 2.40 Bn | 1.56 Bn | 812.00 Mn | 529.00 Mn |
| 5 | Sonos | 2.07 Bn | 965.26 Mn | 189.31 Mn | 157.78 Mn |
| 6 | Whirlpool | 1.84 Bn | -1.63 Bn | 442.00 Mn | 412.00 Mn |
| 7 | Arhaus | 1.52 Bn | 603.08 Mn | 172.07 Mn | 117.81 Mn |
| 8 | Millerknoll | 1.46 Bn | 760.69 Mn | 385.30 Mn | 333.50 Mn |
| 9 | Corsair Gaming | 1.42 Bn | 943.98 Mn | 104.29 Mn | 96.68 Mn |
| 10 | Turtle Beach | 307.30 Mn | 246.19 Mn | 21.86 Mn | 24.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.91 Mn |
| Mar 31, 2026 | 25.36 Mn |
| Dec 31, 2025 | 26.65 Mn |
| Sep 30, 2025 | 24.69 Mn |
| Jun 30, 2025 | 18.59 Mn |
| Mar 31, 2025 | 21.83 Mn |
| Dec 31, 2024 | 30.56 Mn |
| Sep 30, 2024 | 27.71 Mn |
| Jun 30, 2024 | 27.19 Mn |
| Mar 31, 2024 | 23.50 Mn |
| Dec 31, 2023 | 23.45 Mn |
| Sep 30, 2023 | 20.21 Mn |
| Jun 30, 2023 | 27.67 Mn |
| Mar 31, 2023 | 20.63 Mn |
| Dec 31, 2022 | 28.14 Mn |
| Sep 30, 2022 | 20.96 Mn |
| Jun 30, 2022 | 29.26 Mn |
| Mar 31, 2022 | 22.32 Mn |
| Dec 31, 2021 | 29.33 Mn |
| Sep 30, 2021 | 27.78 Mn |
Turtle Beach 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=TBCH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TBCH", "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=TBCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();