Ferroglobe (GSM) Payables (2014 - 2026)
Ferroglobe's Payables was $267.51 million in the quarter ended Jun 30, 2026, down 1.7% from $272.02 million a year earlier but up 0.4% from the prior quarter.
Ferroglobe (GSM) Payables (2014 - 2026) Analysis & Trends
As of Dec 31, 2025, Payables at Ferroglobe came in at $144.85 million, down 8.5% from the prior year.
- Payables has now declined for three consecutive years, with a five-year compound annual growth rate of -0.6% (years ended Dec 2020 to Dec 2025).
- In earlier years, Payables was $158.25 million in the year ended Dec 31, 2024 (-13.7%), $183.38 million in the year ended Dec 31, 2023 (-16.5%), $219.67 million in the year ended Dec 31, 2022 (+6.6%) and $206 million in the year ended Dec 31, 2021 (+38.1%).
- Quarterly Payables has moved between $144.85 million (the quarter ended Dec 31, 2025) and $277.19 million (the quarter ended Sep 30, 2025) over five years.
- Compared with a year earlier, Payables was higher in five of the last eight quarters, with growth averaging 11.3%.
- The best year-over-year quarter for Payables over five years was the quarter ended Mar 31, 2022 (growth of 43.3%); the worst was the quarter ended Mar 31, 2023 (a decline of 35.5%).
- Per Business Quant data, GSM's Payables in the three quarters before the quarter ended Jun 30, 2026 was $266.32 million (quarter ended Mar 31, 2026), $144.85 million (quarter ended Dec 31, 2025) and $277.19 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 10.93 Bn |
| 2 | Southern Copper | 163.97 Bn | 142.76 Bn | 2.90 Bn | 871.90 Mn |
| 3 | Rio Tinto | 141.19 Bn | 101.70 Bn | - | 10.87 Bn |
| 4 | Newmont | 124.53 Bn | 92.53 Bn | 4.03 Bn | 906.00 Mn |
| 5 | Freeport-Mcmoran | 98.93 Bn | 82.97 Bn | 2.19 Bn | 4.80 Bn |
| 6 | Agnico Eagle Mines | 93.96 Bn | 83.59 Bn | 2.43 Bn | 1.28 Bn |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn | 2.08 Bn |
| 8 | Nucor | 60.45 Bn | 49.83 Bn | 2.03 Bn | 2.49 Bn |
| 9 | ArcelorMittal | 48.41 Bn | 27.44 Bn | - | 12.93 Bn |
| 10 | Ferroglobe | 788.29 Mn | 304.53 Mn | - | 227.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 227.68 Mn |
| Mar 31, 2026 | 207.00 Mn |
| Dec 31, 2025 | 224.73 Mn |
| Sep 30, 2025 | 224.78 Mn |
| Jun 30, 2025 | 226.08 Mn |
| Mar 31, 2025 | 176.02 Mn |
| Dec 31, 2024 | 201.50 Mn |
| Sep 30, 2024 | 188.44 Mn |
| Jun 30, 2024 | 195.28 Mn |
| Mar 31, 2024 | 178.04 Mn |
| Dec 31, 2023 | 215.01 Mn |
| Sep 30, 2023 | 166.62 Mn |
| Jun 30, 2023 | 191.38 Mn |
| Mar 31, 2023 | 147.15 Mn |
| Dec 31, 2022 | 281.73 Mn |
| Sep 30, 2022 | 208.00 Mn |
| Jun 30, 2022 | 214.28 Mn |
| Mar 31, 2022 | 249.06 Mn |
| Dec 31, 2021 | 301.30 Mn |
| Sep 30, 2021 | 194.07 Mn |
Ferroglobe Payables 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=payables&ticker=GSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "ticker": "GSM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=payables&ticker=GSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();