Fresenius Medical Care AG (FMS) Pension (2009 - 2026)
Fresenius Medical Care AG (FMS) reported Pension of $672.13 million for the quarter ended Jun 30, 2026, down 5.6% from $711.83 million a year earlier and unchanged from the prior quarter.
Fresenius Medical Care AG (FMS) Pension (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Fresenius Medical Care AG posted Pension of $649.42 million, down 11.6% from the prior year.
- Pension has a five-year compound annual growth rate of 81.2% (years ended Dec 2020 to Dec 2025).
- By year, Pension came in at $734.55 million in the year ended Dec 31, 2024 (+2.2%), $718.61 million in the year ended Dec 31, 2023 (+37.0%), $524.63 million in the year ended Dec 31, 2022 (-43.4%) and $926.15 million in the year ended Dec 31, 2021.
- Five-year quarterly Pension spans a low of $524.63 million in the quarter ended Dec 31, 2022 and a high of $895.3 million in the quarter ended Dec 31, 2021.
- Year over year, Pension has now declined in each of the last four quarters, with growth averaging 1.8% over the last eight quarters.
- The high point for year-over-year Pension in five years was the quarter ended Dec 31, 2023 (growth of 36.2%); the low point was the quarter ended Dec 31, 2022 (a decline of 41.4%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $672.24 million (quarter ended Mar 31, 2026), $669.1 million (quarter ended Dec 31, 2025) and $687.72 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | HCA Healthcare | 94.29 Bn | 93.74 Bn | - |
| 2 | Natera | 59.14 Bn | 54.82 Bn | 485.19 Mn |
| 3 | Quest Diagnostics | 26.23 Bn | 24.66 Bn | 1.03 Bn |
| 4 | Labcorp Holdings | 25.04 Bn | 22.81 Bn | 1.11 Bn |
| 5 | Guardant Health | 23.69 Bn | 19.76 Bn | 219.03 Mn |
| 6 | Tenet Healthcare | 20.77 Bn | 11.92 Bn | - |
| 7 | Tempus AI | 14.91 Bn | 11.94 Bn | 246.50 Mn |
| 8 | Encompass Health | 12.24 Bn | 12.70 Bn | - |
| 9 | Davita | 11.39 Bn | 10.15 Bn | 1.16 Bn |
| 10 | Fresenius Medical Care AG | 2.14 Bn | -4.96 Bn | 1.52 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 672.13 Mn |
| Mar 31, 2026 | 672.24 Mn |
| Dec 31, 2025 | 669.10 Mn |
| Sep 30, 2025 | 687.72 Mn |
| Jun 30, 2025 | 711.83 Mn |
| Mar 31, 2025 | 678.73 Mn |
| Dec 31, 2024 | 725.23 Mn |
| Sep 30, 2024 | 729.27 Mn |
| Jun 30, 2024 | 678.35 Mn |
| Mar 31, 2024 | 703.96 Mn |
| Dec 31, 2023 | 714.78 Mn |
| Sep 30, 2023 | 553.05 Mn |
| Jun 30, 2023 | 593.30 Mn |
| Mar 31, 2023 | 560.22 Mn |
| Dec 31, 2022 | 524.63 Mn |
| Sep 30, 2022 | 545.60 Mn |
| Jun 30, 2022 | 611.97 Mn |
| Mar 31, 2022 | 734.09 Mn |
| Dec 31, 2021 | 895.30 Mn |
| Sep 30, 2021 | 832.37 Mn |
Fresenius Medical Care AG 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=FMS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "ticker": "FMS", "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=FMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();