Yinfu Gold (ELRE) Operating Expenses (2014 - 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.
Powered by 
Analysis
Yinfu Gold (ELRE) Operating Expenses (2014 - 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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,809.31 Bn | 3,732.47 Bn | 60.48 Bn | 12.28 Bn |
| 2 | International Business Machines | 207.26 Bn | 158.16 Bn | 9.91 Bn | 7.29 Bn |
| 3 | Cloudflare | 111.87 Bn | 95.40 Bn | 499.52 Mn | 705.21 Mn |
| 4 | Equinix | 99.81 Bn | 88.37 Bn | 1.40 Bn | 1.96 Bn |
| 5 | Nebius | 59.68 Bn | 33.11 Bn | 448.70 Mn | 758.20 Mn |
| 6 | CoreWeave | 48.00 Bn | 35.10 Bn | 1.70 Bn | 2.62 Bn |
| 7 | Verisign | 25.49 Bn | 22.71 Bn | 384.60 Mn | 138.30 Mn |
| 8 | Nutanix | 19.05 Bn | 10.74 Bn | 651.35 Mn | 581.36 Mn |
| 9 | Akamai Technologies | 15.27 Bn | 8.68 Bn | 613.75 Mn | 1.02 Bn |
| 10 | Yinfu Gold | 4.46 Mn | 4.46 Mn | - | 45,838.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Jun 30, 2021 | 111,556.00 |
API Access
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_KEYimport 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();