Ferroglobe (GSM) Receivables (2014 - 2026)
Ferroglobe (GSM) reported Receivables of $304.65 million for the quarter ended Jun 30, 2026, down 10.6% from $340.92 million a year earlier but up 0.2% from the prior quarter.
Ferroglobe (GSM) Receivables (2014 - 2026) Analysis & Trends
As of Dec 31, 2025, Ferroglobe posted Receivables of $266.2 million, down 2.1% from the prior year.
- Receivables has declined for three consecutive years, though with a five-year compound annual growth rate of 1.6% (years ended Dec 2020 to Dec 2025).
- By year, Receivables came in at $271.92 million in the year ended Dec 31, 2024 (-12.4%), $310.24 million in the year ended Dec 31, 2023 (-27.5%), $428.15 million in the year ended Dec 31, 2022 (+11.5%) and $383.91 million in the year ended Dec 31, 2021 (+56.5%).
- Five-year quarterly Receivables spans a low of $266.2 million in the quarter ended Dec 31, 2025 and a high of $502.74 million in the quarter ended Mar 31, 2022.
- Year over year, Receivables gained in three of the last eight quarters, with an average decline of 2.2%.
- The high point for year-over-year Receivables in five years was the quarter ended Mar 31, 2022 (growth of 79.7%); the low point was the quarter ended Jun 30, 2023 (a decline of 43.2%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $303.92 million (quarter ended Mar 31, 2026), $266.2 million (quarter ended Dec 31, 2025) and $276.96 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 4.66 Bn |
| 2 | Southern Copper | 163.97 Bn | 142.76 Bn | 2.90 Bn | 2.07 Bn |
| 3 | Rio Tinto | 141.19 Bn | 101.70 Bn | - | 5.00 Bn |
| 4 | Newmont | 124.53 Bn | 92.53 Bn | 4.03 Bn | 1.18 Bn |
| 5 | Freeport-Mcmoran | 98.93 Bn | 82.97 Bn | 2.19 Bn | 716.00 Mn |
| 6 | Agnico Eagle Mines | 93.96 Bn | 83.59 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn | 856.00 Mn |
| 8 | Nucor | 60.45 Bn | 49.83 Bn | 2.03 Bn | 4.05 Bn |
| 9 | ArcelorMittal | 48.41 Bn | 27.44 Bn | - | 4.51 Bn |
| 10 | Ferroglobe | 788.29 Mn | 304.53 Mn | - | 304.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 304.65 Mn |
| Mar 31, 2026 | 303.92 Mn |
| Dec 31, 2025 | 198.87 Mn |
| Sep 30, 2025 | 276.96 Mn |
| Jun 30, 2025 | 340.92 Mn |
| Mar 31, 2025 | 296.83 Mn |
| Dec 31, 2024 | 191.00 Mn |
| Sep 30, 2024 | 309.28 Mn |
| Jun 30, 2024 | 299.67 Mn |
| Mar 31, 2024 | 303.94 Mn |
| Dec 31, 2023 | 221.05 Mn |
| Sep 30, 2023 | 294.82 Mn |
| Jun 30, 2023 | 283.45 Mn |
| Mar 31, 2023 | 315.18 Mn |
| Dec 31, 2022 | 428.15 Mn |
| Sep 30, 2022 | 415.18 Mn |
| Jun 30, 2022 | 500.18 Mn |
| Mar 31, 2022 | 501.62 Mn |
| Dec 31, 2021 | 382.77 Mn |
| Sep 30, 2021 | 307.77 Mn |
Ferroglobe 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=GSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=GSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();