Yinfu Gold (ELRE) Operating Expenses (2009 - 2026)
Yinfu Gold (ELRE) posted Operating Expenses of $45,838 for fiscal Q4 2026 (quarter ended Mar 31, 2026), up 54.9% from $29,589 a year earlier and up 38.4% from the prior quarter.
Yinfu Gold (ELRE) Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Yinfu Gold's Operating Expenses came in at $147,960, up 69.3% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of -12.4% (FY2021 to FY2026).
- In prior fiscal years, Yinfu Gold's Operating Expenses was $87,399 in FY2025 (+5.5%), $82,877 in FY2024 (-80.7%), $430,382 in FY2023 (-9.0%) and $472,803 in FY2022 (+65.0%).
- The fiscal Q4 2026 figure stands as the highest quarterly Operating Expenses since fiscal Q4 2023.
- On a year-over-year basis, Operating Expenses has increased in each of the last four quarters, with growth averaging 42.6% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q1 2022, with growth of 164.8%; the weakest was fiscal Q1 2024, with a decline of 90.6%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $33,124 (Q3 2026), $38,341 (Q2 2026) and $30,657 (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,959.78 Bn | 3,895.27 Bn | 62.56 Bn | 16.64 Bn |
| 2 | International Business Machines | 231.09 Bn | 186.37 Bn | 9.71 Bn | 7.00 Bn |
| 3 | Cloudflare | 109.27 Bn | 91.71 Bn | 557.23 Mn | 625.16 Mn |
| 4 | Equinix | 103.94 Bn | 91.83 Bn | 1.31 Bn | 1.97 Bn |
| 5 | Nebius | 33.90 Bn | 7.34 Bn | 448.70 Mn | 758.20 Mn |
| 6 | Verisign | 27.94 Bn | 25.29 Bn | 393.20 Mn | 146.50 Mn |
| 7 | CoreWeave | 26.85 Bn | 26.85 Bn | - | 3.45 Bn |
| 8 | Nutanix | 16.04 Bn | 7.73 Bn | 651.35 Mn | 581.36 Mn |
| 9 | GoDaddy | 13.84 Bn | 9.22 Bn | 843.00 Mn | 979.30 Mn |
| 10 | Yinfu Gold | 12.17 Bn | 12.17 Bn | - | 32,735.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32,735.00 |
| Mar 31, 2026 | 45,838.00 |
| Dec 31, 2025 | 33,124.00 |
| Sep 30, 2025 | 38,341.00 |
| Jun 30, 2025 | 30,657.00 |
| Mar 31, 2025 | 29,589.00 |
| Dec 31, 2024 | 19,255.00 |
| Sep 30, 2024 | 19,754.00 |
| Jun 30, 2024 | 18,801.00 |
| Mar 31, 2024 | 31,647.00 |
| Dec 31, 2023 | 18,124.00 |
| Sep 30, 2023 | 21,768.00 |
| Jun 30, 2023 | 11,338.00 |
| Mar 31, 2023 | 86,768.00 |
| Dec 31, 2022 | 110,503.00 |
| Sep 30, 2022 | 112,705.00 |
| Jun 30, 2022 | 120,406.00 |
| Mar 31, 2022 | 118,668.00 |
| Dec 31, 2021 | 118,461.00 |
| Sep 30, 2021 | 124,118.00 |
Yinfu Gold 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=ELRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ELRE", "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=ELRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();