Posco Holdings (PKX) Pension (2009 - 2026)
Posco Holdings (PKX) posted Pension of $59.6 million for the quarter ended Jun 30, 2026, up 37.0% from $43.51 million a year earlier and up 16.6% from the prior quarter.
Posco Holdings (PKX) Pension (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Posco Holdings' Pension came in at $44.53 million, up 40.5% from the prior year.
- Annual Pension has increased for three consecutive years, though with a five-year compound annual growth rate of -18.1% (years ended Dec 2020 to Dec 2025).
- In prior years, Posco Holdings' Pension was $31.7 million in the year ended Dec 31, 2024 (+6.7%), $29.71 million in the year ended Dec 31, 2023 (+7.0%), $27.77 million in the year ended Dec 31, 2022 (-12.8%) and $31.86 million in the year ended Dec 31, 2021 (-73.6%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Pension since the quarter ended Sep 30, 2024.
- On a year-over-year basis, Pension has increased in each of the last three quarters, with growth averaging 13.2% over the last eight quarters.
- The strongest year-over-year quarter for Pension in the past five years was the quarter ended Sep 30, 2024, with growth of 46.7%; the weakest was the quarter ended Dec 31, 2021, with a decline of 74.9%.
- According to Business Quant data, Pension for the three prior quarters was $51.11 million (quarter ended Mar 31, 2026), $43.7 million (quarter ended Dec 31, 2025) and $54 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - |
| 10 | Posco Holdings | 4.25 Bn | 4.25 Bn | 1.11 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.88 Mn |
| Mar 31, 2026 | 3.93 Mn |
| Dec 31, 2025 | 43.95 Mn |
| Sep 30, 2025 | 4.24 Mn |
| Jun 30, 2025 | 3.14 Mn |
| Dec 31, 2024 | 29.40 Mn |
| Sep 30, 2024 | 64.00 Mn |
| Jun 30, 2024 | 51.14 Mn |
| Mar 31, 2024 | 50.46 Mn |
| Dec 31, 2023 | 30.33 Mn |
| Sep 30, 2023 | 41.04 Mn |
| Mar 31, 2023 | 35.80 Mn |
| Dec 31, 2022 | 29.92 Mn |
| Sep 30, 2022 | 6.97 Mn |
| Jun 30, 2022 | 6.26 Mn |
| Mar 31, 2022 | 5.51 Mn |
| Dec 31, 2021 | 42.73 Mn |
| Sep 30, 2021 | 182.64 Mn |
| Mar 31, 2021 | 151.30 Mn |
| Dec 31, 2020 | 130.51 Mn |
Posco Holdings Pension 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=pension&ticker=PKX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "ticker": "PKX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=pension&ticker=PKX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();