Sibanye Stillwater (SBSW) Receivables (2017 - 2025)
Sibanye Stillwater's Receivables came in at $869.68 million for Q4 2025, up 141.5% from $360.18 million a year earlier.
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Analysis
Sibanye Stillwater (SBSW) Receivables (2017 - 2025) Analysis & Trends
At the end of FY2025, Sibanye Stillwater's Receivables was $856.74 million, up 144.3% from FY2024.
- Receivables carries a five-year compound annual growth rate of 12.6% (FY2020 to FY2025).
- Going back by year, Receivables was $350.7 million in FY2024 (-47.9%), $673.46 million in FY2023 (+38.8%), $485.25 million in FY2022 (-15.4%) and $573.4 million in FY2021 (+21.2%).
- The Q4 2025 figure represents the highest quarterly Receivables in data going back to Q4 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | 7.06 Bn |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 2.07 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 1.18 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | 764.12 Mn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 716.00 Mn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 856.00 Mn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 4.05 Bn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | 4.51 Bn |
| 10 | Sibanye Stillwater | 7.18 Bn | 2.77 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 869.68 Mn |
| Dec 31, 2024 | 360.18 Mn |
| Jun 30, 2024 | 8.78 Mn |
| Dec 31, 2023 | 671.69 Mn |
| Jun 30, 2023 | 21.72 Mn |
| Dec 31, 2022 | 62.15 Mn |
| Jun 30, 2022 | 6.71 Mn |
| Dec 31, 2021 | 89.38 Mn |
| Dec 31, 2020 | 495.00 Mn |
| Dec 31, 2019 | 365.10 Mn |
| Dec 31, 2018 | 503.06 Mn |
| Dec 31, 2017 | 479.07 Mn |
API Access
Sibanye Stillwater Receivables 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=receivables&ticker=SBSW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "SBSW", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=receivables&ticker=SBSW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();