Greenpro Capital (GRNQ) Operating Expenses (2013 - 2026)
Greenpro Capital (GRNQ) recorded Operating Expenses of $922,420 in Q2 2026, down 2.4% from $944,949 a year earlier and down 24.2% from the prior quarter.
Greenpro Capital (GRNQ) Operating Expenses (2013 - 2026) Analysis & Trends
On a TTM basis, Greenpro Capital's Operating Expenses came in at $4.07 million as of Jun 30, 2026, up 2.6% year-over-year; for FY2025, it was $3.82 million, down 5.5% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of -3.5% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $4.04 million in FY2024 (-11.3%), $4.55 million in FY2023 (+740.0%), $542,091 in FY2022 (-89.6%) and $5.23 million in FY2021 (+14.7%).
- Quarterly Operating Expenses has ranged from -$2.52 million in Q4 2022 to $1.72 million in Q4 2023 over the past five years.
- On a year-over-year basis, Operating Expenses rose in two of the last eight quarters, with an average decline of 4.6%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 28.4% in Q1 2026, against a decline of 34.5% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.22 million (Q1 2026), $1.14 million (Q4 2025) and $784,610 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 165.57 Bn | 111.92 Bn | - | 4.62 Bn |
| 2 | Spdr Gold Trust | 134.78 Bn | -423.22 Bn | - | 149.76 Mn |
| 3 | Blackstone | 85.82 Bn | 80.74 Bn | - | 2.38 Bn |
| 4 | Kkr | 83.68 Bn | 50.16 Bn | - | 5.41 Bn |
| 5 | Brookfield | 82.01 Bn | -83.38 Bn | 4.47 Bn | 14.94 Bn |
| 6 | Brookfield Asset Management | 71.83 Bn | 68.08 Bn | - | 659.00 Mn |
| 7 | Apollo Global Management | 68.53 Bn | 6.22 Bn | 10.56 Bn | 8.74 Bn |
| 8 | Wheaton Precious Metals | 61.44 Bn | 56.87 Bn | 687.86 Mn | 133.83 Mn |
| 9 | Franco Nevada | 47.81 Bn | 45.18 Bn | 451.00 Mn | 7.80 Mn |
| 10 | Greenpro Capital | 15.63 Mn | 13.08 Mn | 187,997.00 | 922,420.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 922,420.00 |
| Mar 31, 2026 | 1.22 Mn |
| Dec 31, 2025 | 1.14 Mn |
| Sep 30, 2025 | 784,610.00 |
| Jun 30, 2025 | 944,949.00 |
| Mar 31, 2025 | 948,046.00 |
| Dec 31, 2024 | 1.20 Mn |
| Sep 30, 2024 | 868,333.00 |
| Jun 30, 2024 | 920,070.00 |
| Mar 31, 2024 | 1.05 Mn |
| Dec 31, 2023 | 1.72 Mn |
| Sep 30, 2023 | 978,023.00 |
| Jun 30, 2023 | 817,259.00 |
| Mar 31, 2023 | 891,564.00 |
| Dec 31, 2022 | -2.52 Mn |
| Sep 30, 2022 | 977,457.00 |
| Jun 30, 2022 | 1.03 Mn |
| Mar 31, 2022 | 904,139.00 |
| Dec 31, 2021 | 1.71 Mn |
| Sep 30, 2021 | 964,246.00 |
Greenpro Capital 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=GRNQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GRNQ", "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=GRNQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();