Cango (CANG) Operating Expenses (2017 - 2026)
Cango (CANG) reported Operating Expenses of $131.4 million for Q2 2026, down 58.5% from $316.95 million a year earlier and down 63.1% from the prior quarter.
Cango (CANG) Operating Expenses (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Cango's Operating Expenses came in at $1.12 billion, up 94.0% year-over-year; for FY2025, it was $1125.17 trillion.
- Operating Expenses has a five-year compound annual growth rate of 2015.2% (FY2020 to FY2025).
- By year, Operating Expenses came in at $95.02 trillion in FY2024, $7.02 trillion in FY2023, $424.46 million in FY2022 (-31.4%) and $619.05 million in FY2021 (+132.9%).
- The Q2 2026 figure ranks as the lowest quarterly Operating Expenses since Q4 2024.
- Year over year, Operating Expenses gained in three of the last five quarters, with growth averaging 133.0%.
- The high point for year-over-year Operating Expenses in five years was Q4 2025 (growth of 403.3%); the low point was Q3 2024 (a decline of 98.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $356.35 million (Q1 2026), $456.01 million (Q4 2025) and $181.16 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 50.59 Bn | 7.40 Bn | - | 1.33 Bn |
| 2 | PayPal Holdings | 46.79 Bn | 5.01 Bn | - | 7.26 Bn |
| 3 | Block | 44.05 Bn | 15.31 Bn | 3.17 Bn | 2.72 Bn |
| 4 | Iren | 31.74 Bn | 19.34 Bn | 103.89 Mn | 128.25 Mn |
| 5 | Corpay | 26.01 Bn | 16.21 Bn | - | 260.40 Mn |
| 6 | Fiserv | 24.47 Bn | 21.17 Bn | 2.90 Bn | 4.28 Bn |
| 7 | Global Payments | 22.51 Bn | 952.73 Mn | 2.03 Bn | 2.98 Bn |
| 8 | Bitmine Immersion Technologies | 15.56 Bn | 12.94 Bn | 40.81 Mn | 52.67 Mn |
| 9 | Guidewire Software | 11.90 Bn | 8.47 Bn | 269.68 Mn | 207.36 Mn |
| 10 | Cango | 81.37 Mn | -128,618.41 Bn | 86,491.00 | 131.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 131.40 Mn |
| Mar 31, 2026 | 356.35 Mn |
| Dec 31, 2025 | 456.01 Mn |
| Sep 30, 2025 | 181.16 Mn |
| Jun 30, 2025 | 316.95 Mn |
| Mar 31, 2025 | 171.06 Mn |
| Dec 31, 2024 | 90.60 Mn |
| Sep 30, 2024 | 1.22 Mn |
| Jun 30, 2024 | -260,801.00 |
| Mar 31, 2024 | -1.35 Mn |
| Dec 31, 2023 | 22.10 Mn |
| Sep 30, 2023 | 60.50 Mn |
| Jun 30, 2023 | 94.38 Mn |
| Mar 31, 2023 | 71.46 Mn |
| Dec 31, 2022 | 101.30 Mn |
| Sep 30, 2022 | 85.58 Mn |
| Jun 30, 2022 | 96.05 Mn |
| Mar 31, 2022 | 154.08 Mn |
| Dec 31, 2021 | 189.49 Mn |
| Sep 30, 2021 | 130.31 Mn |
Cango 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=CANG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CANG", "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=CANG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();