Fmc (FMC) Other Non-Current Liabilities (2009 - 2026)
Fmc's Other Non-Current Liabilities was $562.9 million in Q2 2026, up 7.6% from $522.9 million a year earlier but down 2.8% from the prior quarter.
Fmc (FMC) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Other Non-Current Liabilities at Fmc came in at $600.4 million, up 15.2% from FY2024.
- Other Non-Current Liabilities has now increased for three consecutive years, though with a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- In earlier years, Other Non-Current Liabilities was $521.3 million in FY2024 (+5.4%), $494.7 million in FY2023 (+11.1%), $445.4 million in FY2022 (-6.7%) and $477.3 million in FY2021 (-21.0%).
- Quarterly Other Non-Current Liabilities has moved between $416 million (Q3 2023) and $600.4 million (Q4 2025) over five years.
- Compared with a year earlier, Other Non-Current Liabilities has increased for 11 straight quarters, with growth averaging 10.4% over the last eight quarters.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was Q4 2025 (growth of 15.2%); the worst was Q4 2021 (a decline of 21.0%).
- Per Business Quant data, FMC's Other Non-Current Liabilities in the three quarters before Q2 2026 was $579.3 million (Q1 2026), $600.4 million (Q4 2025) and $514.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 230.90 Bn | 212.48 Bn | 4.43 Bn |
| 2 | Corning | 114.36 Bn | 106.93 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 81.95 Bn | 80.99 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 66.72 Bn | 61.91 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 40.99 Bn | 30.49 Bn | 2.04 Bn |
| 6 | Nutrien | 33.61 Bn | 30.44 Bn | 3.25 Bn |
| 7 | Qnity Electronics | 24.90 Bn | 22.03 Bn | 666.00 Mn |
| 8 | Ati | 24.85 Bn | 22.88 Bn | 309.80 Mn |
| 9 | Ppg Industries | 24.23 Bn | 16.89 Bn | 1.81 Bn |
| 10 | Fmc | 674.92 Mn | -1.27 Bn | 342.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.08 Bn |
| Mar 31, 2026 | 919.20 Mn |
| Dec 31, 2025 | 988.10 Mn |
| Sep 30, 2025 | 902.50 Mn |
| Jun 30, 2025 | 909.60 Mn |
| Mar 31, 2025 | 947.90 Mn |
| Dec 31, 2024 | 992.00 Mn |
| Sep 30, 2024 | 845.50 Mn |
| Jun 30, 2024 | 867.70 Mn |
| Mar 31, 2024 | 892.10 Mn |
| Dec 31, 2023 | 902.10 Mn |
| Sep 30, 2023 | 821.80 Mn |
| Jun 30, 2023 | 845.70 Mn |
| Mar 31, 2023 | 881.60 Mn |
| Dec 31, 2022 | 884.50 Mn |
| Sep 30, 2022 | 805.90 Mn |
| Jun 30, 2022 | 826.00 Mn |
| Mar 31, 2022 | 881.50 Mn |
| Dec 31, 2021 | 893.20 Mn |
| Sep 30, 2021 | 904.40 Mn |
Fmc Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=FMC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "ticker": "FMC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-non-current-liabilities&ticker=FMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();