Gogoro (GGR) Operating Expenses (2021 - 2026)
Gogoro (GGR) reported Operating Expenses of $19.05 million for Q2 2026, down 19.6% from $23.69 million a year earlier but up 7.5% from the prior quarter.
Gogoro (GGR) Operating Expenses (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Gogoro's Operating Expenses came in at $90.55 million, down 32.9% year-over-year; for FY2025, it came in at -$6.71 million.
- By year, Operating Expenses came in at $18.87 million in FY2024 (+52.9%), $12.34 million in FY2023 (-93.8%), $199.42 million in FY2022 and -$67.36 million in FY2021.
- Five-year quarterly Operating Expenses spans a low of -$18.39 million in Q1 2023 and a high of $236.75 million in Q2 2022.
- Year over year, Operating Expenses has now declined in each of the last six quarters, with an average decline of 13.1% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q2 2022 (growth of 783.7%); the low point was Q2 2023 (a decline of 85.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $17.72 million (Q1 2026), $30.81 million (Q4 2025) and $22.98 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 4.35 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 78.18 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 471.42 Mn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | -34.70 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 46.57 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 47.66 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | 1.02 Bn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | 273.20 Mn |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 4.85 Bn |
| 10 | Gogoro | 46.24 Mn | -289.99 Mn | 15.96 Mn | 19.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.05 Mn |
| Mar 31, 2026 | 17.72 Mn |
| Dec 31, 2025 | 30.81 Mn |
| Sep 30, 2025 | 22.98 Mn |
| Jun 30, 2025 | 23.69 Mn |
| Mar 31, 2025 | 20.21 Mn |
| Dec 31, 2024 | 61.81 Mn |
| Sep 30, 2024 | 29.20 Mn |
| Jun 30, 2024 | 28.77 Mn |
| Mar 31, 2024 | 29.77 Mn |
| Dec 31, 2023 | 36.55 Mn |
| Sep 30, 2023 | 36.71 Mn |
| Jun 30, 2023 | 33.56 Mn |
| Mar 31, 2023 | -18.39 Mn |
| Dec 31, 2022 | 41.86 Mn |
| Sep 30, 2022 | 44.69 Mn |
| Jun 30, 2022 | 236.75 Mn |
| Mar 31, 2022 | 32.74 Mn |
| Dec 31, 2021 | 36.65 Mn |
| Sep 30, 2021 | 29.36 Mn |
Gogoro 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=GGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GGR", "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=GGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();