Xtra-Gold Resources (XTGRF) Operating Expenses (2012 - 2026)
Xtra-Gold Resources' Operating Expenses came in at $448,667 for Q2 2026, down 50.3% from $902,963 a year earlier and down 1.7% from the prior quarter.
Xtra-Gold Resources (XTGRF) Operating Expenses (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Xtra-Gold Resources reported Operating Expenses of $1.91 million, up 0.8% year-over-year; for FY2025, it was $2.34 million, up 40.3% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 25.6% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $1.67 million in FY2024 (+17.0%), $1.42 million in FY2023 (-16.5%), $1.71 million in FY2022 (+5.9%) and $1.61 million in FY2021 (+115.2%).
- The five-year range for quarterly Operating Expenses is $57,634 (Q3 2022) to $902,963 (Q2 2025).
- Year-over-year, Operating Expenses increased in six of the last eight quarters, with growth averaging 33.1%.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2023 (growth of 304.3%), and the weakest in Q3 2022 (a decline of 89.6%).
- Business Quant data shows XTGRF's Operating Expenses at $456,564 (Q1 2026), $430,762 (Q4 2025) and $571,264 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 3.02 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | -780.00 Mn |
| 10 | Xtra-Gold Resources | 5.77 Mn | 6.72 Mn | - | 448,667.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 448,667.00 |
| Mar 31, 2026 | 456,564.00 |
| Dec 31, 2025 | 430,762.00 |
| Sep 30, 2025 | 571,264.00 |
| Jun 30, 2025 | 902,963.00 |
| Mar 31, 2025 | 327,407.00 |
| Dec 31, 2024 | 420,596.00 |
| Sep 30, 2024 | 240,519.00 |
| Jun 30, 2024 | 441,831.00 |
| Mar 31, 2024 | 427,120.00 |
| Dec 31, 2023 | 277,005.00 |
| Sep 30, 2023 | 232,994.00 |
| Jun 30, 2023 | 376,544.00 |
| Mar 31, 2023 | 371,989.00 |
| Dec 31, 2022 | 380,641.00 |
| Sep 30, 2022 | 57,634.00 |
| Jun 30, 2022 | 697,895.00 |
| Mar 31, 2022 | 380,531.00 |
| Dec 31, 2021 | 460,669.00 |
| Sep 30, 2021 | 556,198.00 |
Xtra-Gold Resources 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=XTGRF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "XTGRF", "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=XTGRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();