GoldMining (GLDG) Return on Sales [ROS] (2019 - 2026)
GoldMining's Return on Sales [ROS] was -12913.91% in fiscal Q3 2026 (quarter ended Aug 31, 2026), down 11789.95 percentage points from -1123.96% a year earlier and down 8308.07 percentage points from the prior quarter.
GoldMining (GLDG) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, GoldMining's Return on Sales [ROS] was -5952.82% through Aug 31, 2026, down 3651.30 percentage points year-over-year; for FY2025 (ended Nov 30, 2025), it came in at -8370.70%, down 4768.45 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +6393.59 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Return on Sales [ROS] was -3602.25% in FY2024 (+244.63 pp), -3846.88% in FY2023 (+21930.48 pp) and -25777.36% in FY2022.
- The fiscal Q3 2026 figure marks the lowest quarterly Return on Sales [ROS] since fiscal Q4 2022.
- Compared with a year earlier, Return on Sales [ROS] was higher in three of the last eight quarters, with an average year-over-year change of -1833.91 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q1 2023 (a gain of 78683.14 percentage points); the worst was fiscal Q2 2022 (a drop of 64764.30 percentage points).
- Per Business Quant data, GLDG's Return on Sales [ROS] in the three fiscal quarters before Q3 2026 was -4605.85% (Q2 2026), -3266.82% (Q1 2026) and -6274.29% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 150.91 Bn | 129.70 Bn | 2.90 Bn | 61.16% |
| 3 | Rio Tinto | 134.81 Bn | 95.32 Bn | - | - |
| 4 | Newmont | 114.42 Bn | 79.57 Bn | 4.22 Bn | 16.03% |
| 5 | Freeport-Mcmoran | 92.91 Bn | 76.95 Bn | 2.19 Bn | 28.50% |
| 6 | Agnico Eagle Mines | 86.40 Bn | 76.03 Bn | 2.43 Bn | 60.65% |
| 7 | Barrick Mining | 64.62 Bn | 39.82 Bn | 2.90 Bn | 51.63% |
| 8 | Nucor | 59.69 Bn | 49.08 Bn | 2.03 Bn | 15.67% |
| 9 | ArcelorMittal | 45.09 Bn | 24.11 Bn | - | 6.29% |
| 10 | GoldMining | 146.60 Mn | -3.57 Mn | - | -12,913.91% |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | -12,913.91% |
| May 31, 2026 | -4,605.85% |
| Feb 28, 2026 | -3,266.82% |
| Nov 30, 2025 | -6,274.29% |
| Aug 31, 2025 | -1,123.96% |
| May 31, 2025 | -8,145.28% |
| Feb 28, 2025 | -1,756.29% |
| Nov 30, 2024 | -8,107.02% |
| Aug 31, 2024 | -3,211.46% |
| May 31, 2024 | -2,805.29% |
| Feb 29, 2024 | -375.04% |
| Nov 30, 2023 | -5,997.78% |
| Aug 31, 2023 | -1,340.40% |
| May 31, 2023 | -5,824.27% |
| Feb 28, 2023 | -4,341.86% |
| Nov 30, 2022 | -17,314.29% |
| Aug 31, 2022 | -14,220.00% |
| May 31, 2022 | -55,983.33% |
| Feb 28, 2022 | -83,025.00% |
| Aug 31, 2021 | -138.57% |
GoldMining Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=GLDG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GLDG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=GLDG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();