Gogoro (GGR) Cost of Revenue (2021 - 2026)
Gogoro's Cost of Revenue came in at $54.66 million for Q2 2026, down 16.7% from $65.59 million a year earlier but up 9.1% from the prior quarter.
Gogoro (GGR) Cost of Revenue (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Gogoro reported Cost of Revenue of $236.69 million, down 17.5% year-over-year; for FY2025, it was $258.32 million, down 14.7% from FY2024.
- Cost of Revenue carries a five-year compound annual growth rate of -1.9% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $302.71 million in FY2024 (+1.3%), $298.91 million in FY2023 (-8.1%), $325.11 million in FY2022 (+6.6%) and $304.92 million in FY2021 (+7.1%).
- The five-year range for quarterly Cost of Revenue is $50.09 million (Q1 2026) to $95.33 million (Q4 2021).
- Year-over-year, Cost of Revenue has declined for seven consecutive quarters, with an average decline of 10.6% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in Q1 2022 (growth of 59.2%), and the weakest in Q4 2025 (a decline of 18.8%).
- Business Quant data shows GGR's Cost of Revenue at $50.09 million (Q1 2026), $63.79 million (Q4 2025) and $68.16 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn | 23.49 Bn |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn | 63.91 Bn |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn | 1.07 Bn |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn | 29.57 Bn |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn | 40.70 Bn |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn | 42.22 Bn |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn | 1.48 Bn |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn | 9.37 Bn |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn | 44.99 Bn |
| 10 | Gogoro | 47.28 Mn | -288.96 Mn | 15.96 Mn | 54.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54.66 Mn |
| Mar 31, 2026 | 50.09 Mn |
| Dec 31, 2025 | 63.79 Mn |
| Sep 30, 2025 | 68.16 Mn |
| Jun 30, 2025 | 65.59 Mn |
| Mar 31, 2025 | 60.52 Mn |
| Dec 31, 2024 | 78.52 Mn |
| Sep 30, 2024 | 82.18 Mn |
| Jun 30, 2024 | 76.77 Mn |
| Mar 31, 2024 | 65.24 Mn |
| Dec 31, 2023 | 80.94 Mn |
| Sep 30, 2023 | 74.97 Mn |
| Jun 30, 2023 | 73.95 Mn |
| Mar 31, 2023 | 69.06 Mn |
| Dec 31, 2022 | 81.14 Mn |
| Sep 30, 2022 | 84.37 Mn |
| Jun 30, 2022 | 78.05 Mn |
| Mar 31, 2022 | 81.56 Mn |
| Dec 31, 2021 | 95.33 Mn |
| Sep 30, 2021 | 83.23 Mn |
Gogoro Cost of Revenue 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=cost-of-revenue&ticker=GGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=GGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();