DyTb (TMRC) Selling, General & Administrative (2010 - 2026)
DyTb's Selling, General & Administrative was $1.34 million in fiscal Q3 2026 (quarter ended May 31, 2026), up 437.5% from $250,000 a year earlier and up 353.9% from the prior quarter.
DyTb (TMRC) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, DyTb's Selling, General & Administrative was $2.1 million through May 31, 2026, up 142.3% year-over-year; for FY2025 (ended Aug 31, 2025), it was $871,708, down 0.6% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of -3.8% (FY2020 to FY2025).
- In earlier fiscal years, Selling, General & Administrative was $877,278 in FY2024 (-51.9%), $1.82 million in FY2023 (+32.4%), $1.38 million in FY2022 (+2.5%) and $1.34 million in FY2021 (+27.2%).
- The fiscal Q3 2026 figure marks the highest quarterly Selling, General & Administrative since fiscal Q4 2012.
- Compared with a year earlier, Selling, General & Administrative has increased for five straight quarters, with growth averaging 58.0% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was fiscal Q3 2026 (growth of 437.5%); the worst was fiscal Q3 2024 (a decline of 75.6%).
- Per Business Quant data, TMRC's Selling, General & Administrative in the three fiscal quarters before Q3 2026 was $296,051 (Q2 2026), $246,511 (Q1 2026) and $210,314 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 166.32 Bn | 145.19 Bn | 2.90 Bn | 35.30 Mn |
| 3 | Newmont | 120.84 Bn | 89.01 Bn | 4.03 Bn | 74.00 Mn |
| 4 | Ternium | 110.94 Bn | 75.99 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 99.52 Bn | 95.67 Bn | 2.19 Bn | 135.00 Mn |
| 6 | Agnico Eagle Mines | 90.25 Bn | 90.25 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 67.10 Bn | 51.84 Bn | 2.90 Bn | 31.00 Mn |
| 8 | Nucor | 53.52 Bn | 44.06 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 49.13 Bn | 30.16 Bn | - | - |
| 10 | DyTb | 71.56 Mn | 71.56 Mn | - | 1.34 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 1.34 Mn |
| Feb 28, 2026 | 296,051.00 |
| Nov 30, 2025 | 246,511.00 |
| Aug 31, 2025 | 210,314.00 |
| May 31, 2025 | 250,000.00 |
| Feb 28, 2025 | 200,385.00 |
| Nov 30, 2024 | 211,009.00 |
| Aug 31, 2024 | 204,042.00 |
| May 31, 2024 | 212,071.00 |
| Feb 29, 2024 | 228,257.00 |
| Nov 30, 2023 | 232,909.00 |
| Aug 31, 2023 | 325,261.00 |
| May 31, 2023 | 870,345.00 |
| Feb 28, 2023 | 284,187.00 |
| Nov 30, 2022 | 342,191.00 |
| Aug 31, 2022 | 389,632.00 |
| May 31, 2022 | 295,360.00 |
| Feb 28, 2022 | 351,776.00 |
| Nov 30, 2021 | 339,505.00 |
| Aug 31, 2021 | 262,621.00 |
DyTb Selling, General & Administrative 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=selling-general-and-administrative&ticker=TMRC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "TMRC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=TMRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();