GoPro (GPRO) Operating Expenses (2013 - 2026)
GoPro (GPRO) reported Operating Expenses of $70.65 million for Q2 2026, up 2.9% from $68.67 million a year earlier and up 14.8% from the prior quarter.
Powered by 
Analysis
GoPro (GPRO) Operating Expenses (2013 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, GoPro's Operating Expenses came in at $277.68 million, down 24.1% year-over-year; for FY2025, it was $302.51 million, down 25.6% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of -2.9% (FY2020 to FY2025).
- By year, Operating Expenses came in at $406.33 million in FY2024 (+1.8%), $399.04 million in FY2023 (+8.5%), $367.87 million in FY2022 (+1.1%) and $363.89 million in FY2021 (+3.6%).
- Five-year quarterly Operating Expenses spans a low of $61.55 million in Q1 2026 and a high of $110.46 million in Q4 2023.
- Year over year, Operating Expenses gained in two of the last eight quarters, with an average decline of 15.9%.
- The high point for year-over-year Operating Expenses in five years was Q4 2021 (growth of 26.9%); the low point was Q2 2025 (a decline of 33.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $61.55 million (Q1 2026), $72.43 million (Q4 2025) and $73.05 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 27.59 Bn | 25.26 Bn | 860.34 Mn | 680.96 Mn |
| 2 | Somnigroup International | 13.43 Bn | 12.98 Bn | 817.20 Mn | - |
| 3 | Hni | 3.37 Bn | 2.94 Bn | 647.20 Mn | 550.90 Mn |
| 4 | Newell Brands | 2.37 Bn | 1.52 Bn | 812.00 Mn | 529.00 Mn |
| 5 | Sonos | 2.06 Bn | 959.31 Mn | 189.31 Mn | 157.78 Mn |
| 6 | Whirlpool | 1.86 Bn | -1.61 Bn | 442.00 Mn | 412.00 Mn |
| 7 | Arhaus | 1.55 Bn | 627.13 Mn | 172.07 Mn | 117.81 Mn |
| 8 | Millerknoll | 1.47 Bn | 773.17 Mn | 385.30 Mn | 333.50 Mn |
| 9 | Corsair Gaming | 1.42 Bn | 943.98 Mn | 104.29 Mn | 96.68 Mn |
| 10 | GoPro | 170.85 Mn | 143.59 Mn | 31.66 Mn | 70.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.65 Mn |
| Mar 31, 2026 | 61.55 Mn |
| Dec 31, 2025 | 72.43 Mn |
| Sep 30, 2025 | 73.05 Mn |
| Jun 30, 2025 | 68.67 Mn |
| Mar 31, 2025 | 88.36 Mn |
| Dec 31, 2024 | 108.80 Mn |
| Sep 30, 2024 | 99.86 Mn |
| Jun 30, 2024 | 103.22 Mn |
| Mar 31, 2024 | 94.45 Mn |
| Dec 31, 2023 | 110.46 Mn |
| Sep 30, 2023 | 97.99 Mn |
| Jun 30, 2023 | 98.27 Mn |
| Mar 31, 2023 | 92.32 Mn |
| Dec 31, 2022 | 102.60 Mn |
| Sep 30, 2022 | 91.61 Mn |
| Jun 30, 2022 | 91.35 Mn |
| Mar 31, 2022 | 82.31 Mn |
| Dec 31, 2021 | 102.45 Mn |
| Sep 30, 2021 | 89.45 Mn |
API Access
GoPro 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=GPRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GPRO", "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=GPRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();