Trx Gold (TRX) Accumulated Expenses (2015 - 2026)
Trx Gold (TRX) reported Accumulated Expenses of $12.36 million for the quarter ended May 31, 2026, down 38.5% from $20.11 million a year earlier but up 5.1% from the prior quarter.
Trx Gold (TRX) Accumulated Expenses (2015 - 2026) Analysis & Trends
As of Aug 31, 2025, Trx Gold posted Accumulated Expenses of $18.16 million, up 16.8% from the prior year.
- Accumulated Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 29.7% (years ended Aug 2020 to Aug 2025).
- By year, Accumulated Expenses came in at $15.55 million in the year ended Aug 31, 2024 (+34.3%), $11.57 million in the year ended Aug 31, 2023 (+46.1%), $7.92 million in the year ended Aug 31, 2022 (+125.3%) and $3.52 million in the year ended Aug 31, 2021 (-29.0%).
- Five-year quarterly Accumulated Expenses spans a low of $2.27 million in the quarter ended May 31, 2022 and a high of $20.11 million in the quarter ended May 31, 2025.
- Year over year, Accumulated Expenses has now declined in each of the last three quarters, with growth averaging 9.8% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was the quarter ended Aug 31, 2022 (growth of 125.3%); the low point was the quarter ended May 31, 2026 (a decline of 38.5%).
- Per Business Quant data, the three quarters before the quarter ended May 31, 2026 came in at $11.77 million (quarter ended Feb 28, 2026), $15.19 million (quarter ended Nov 30, 2025) and $18.16 million (quarter ended Aug 31, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 152.17 Bn | 130.96 Bn | 2.90 Bn |
| 3 | Rio Tinto | 136.50 Bn | 97.00 Bn | - |
| 4 | Newmont | 121.22 Bn | 89.23 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 92.90 Bn | 76.94 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 88.76 Bn | 78.39 Bn | 2.43 Bn |
| 7 | Barrick Mining | 66.12 Bn | 41.32 Bn | 2.90 Bn |
| 8 | Nucor | 58.75 Bn | 48.13 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 45.93 Bn | 24.95 Bn | - |
| 10 | Trx Gold | 45.78 Mn | -24.02 Mn | 19.45 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 12.36 Mn |
| Feb 28, 2026 | 11.77 Mn |
| Nov 30, 2025 | 15.19 Mn |
| Aug 31, 2025 | 18.16 Mn |
| May 31, 2025 | 20.11 Mn |
| Feb 28, 2025 | 18.60 Mn |
| Nov 30, 2024 | 15.88 Mn |
| Aug 31, 2024 | 15.55 Mn |
| May 31, 2024 | 14.45 Mn |
| Feb 29, 2024 | 12.80 Mn |
| Nov 30, 2023 | 12.97 Mn |
| Aug 31, 2023 | 11.57 Mn |
| May 31, 2023 | 11.61 Mn |
| Feb 28, 2023 | 8.84 Mn |
| Nov 30, 2022 | 7.10 Mn |
| Aug 31, 2022 | 7.92 Mn |
| May 31, 2022 | 2.27 Mn |
| Aug 31, 2021 | 3.52 Mn |
| May 31, 2021 | 655,000.00 |
| Aug 31, 2015 | 23,825.00 |
Trx Gold Accumulated 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=accumulated-expenses&ticker=TRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "TRX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=TRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();