Fmc (FMC) Total Non-Current Liabilities (2009 - 2026)
Fmc (FMC) posted Total Non-Current Liabilities of $6.4 billion for Q2 2026, down 8.0% from $6.96 billion a year earlier and down 3.8% from the prior quarter.
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Analysis
Fmc (FMC) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Fmc's Total Non-Current Liabilities came in at $6.6 billion, up 7.3% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 1.7% (FY2020 to FY2025).
- In prior years, Fmc's Total Non-Current Liabilities was $6.15 billion in FY2024 (-6.6%), $6.59 billion in FY2023 (-4.3%), $6.89 billion in FY2022 (+3.8%) and $6.64 billion in FY2021 (+9.6%).
- The Q2 2026 figure stands as the lowest quarterly Total Non-Current Liabilities since Q4 2024.
- On a year-over-year basis, Total Non-Current Liabilities increased in four of the last eight quarters, with growth averaging 0.4%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q2 2023, with growth of 10.4%; the weakest was Q2 2024, with a decline of 13.5%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $6.65 billion (Q1 2026), $6.6 billion (Q4 2025) and $7.38 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 238.84 Bn | 220.98 Bn | 4.44 Bn | 36.25 Bn |
| 2 | Corning | 98.69 Bn | 90.37 Bn | 1.81 Bn | 14.18 Bn |
| 3 | Sherwin Williams | 85.12 Bn | 84.13 Bn | 3.28 Bn | 20.37 Bn |
| 4 | Air Products & Chemicals | 69.02 Bn | 64.21 Bn | 1.04 Bn | 19.27 Bn |
| 5 | LyondellBasell Industries | 38.36 Bn | 26.43 Bn | 1.50 Bn | 21.69 Bn |
| 6 | Nutrien | 34.35 Bn | 30.38 Bn | - | - |
| 7 | Ppg Industries | 27.44 Bn | 20.36 Bn | 1.76 Bn | 13.29 Bn |
| 8 | Qnity Electronics | 26.06 Bn | 22.20 Bn | 743.00 Mn | 5.81 Bn |
| 9 | Ati | 25.56 Bn | 23.51 Bn | 380.20 Mn | 3.09 Bn |
| 10 | Fmc | 689.85 Mn | -1.50 Bn | -401.60 Mn | 6.80 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.80 Bn |
| Jun 30, 2026 | 6.40 Bn |
| Mar 31, 2026 | 6.65 Bn |
| Dec 31, 2025 | 6.60 Bn |
| Sep 30, 2025 | 7.38 Bn |
| Jun 30, 2025 | 6.96 Bn |
| Mar 31, 2025 | 6.44 Bn |
| Dec 31, 2024 | 6.15 Bn |
| Sep 30, 2024 | 6.74 Bn |
| Jun 30, 2024 | 6.68 Bn |
| Mar 31, 2024 | 6.77 Bn |
| Dec 31, 2023 | 6.59 Bn |
| Sep 30, 2023 | 6.82 Bn |
| Jun 30, 2023 | 7.73 Bn |
| Mar 31, 2023 | 7.36 Bn |
| Dec 31, 2022 | 6.89 Bn |
| Sep 30, 2022 | 6.76 Bn |
| Jun 30, 2022 | 7.00 Bn |
| Mar 31, 2022 | 6.85 Bn |
| Dec 31, 2021 | 6.64 Bn |
API Access
Fmc Total 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=total-non-current-liabilities&ticker=FMC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=FMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();