Fmc (FMC) Total Non-Current Liabilities (2009 - 2026)
Fmc (FMC) posted Total Non-Current Liabilities of $6.92 billion for Q2 2026, down 5.8% from $7.35 billion a year earlier and down 1.0% 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 $6.99 billion, up 5.5% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 1.5% (FY2020 to FY2025).
- In prior years, Fmc's Total Non-Current Liabilities was $6.62 billion in FY2024 (-5.4%), $7 billion in FY2023 (-4.5%), $7.33 billion in FY2022 (+3.9%) and $7.05 billion in FY2021 (+8.5%).
- The Q2 2026 figure stands as the lowest quarterly Total Non-Current Liabilities since Q1 2025.
- 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 10.5%; the weakest was Q2 2024, with a decline of 13.0%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $6.99 billion (Q1 2026), $6.99 billion (Q4 2025) and $7.76 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 230.68 Bn | 212.26 Bn | 4.43 Bn | 36.82 Bn |
| 2 | Corning | 114.29 Bn | 106.86 Bn | 1.63 Bn | 14.10 Bn |
| 3 | Sherwin Williams | 81.81 Bn | 80.85 Bn | 3.34 Bn | 20.50 Bn |
| 4 | Air Products & Chemicals | 66.54 Bn | 61.72 Bn | 1.04 Bn | 19.27 Bn |
| 5 | LyondellBasell Industries | 40.87 Bn | 30.38 Bn | 2.04 Bn | 22.10 Bn |
| 6 | Nutrien | 33.43 Bn | 30.25 Bn | 3.25 Bn | 27.37 Bn |
| 7 | Qnity Electronics | 24.89 Bn | 22.03 Bn | 666.00 Mn | 5.75 Bn |
| 8 | Ati | 24.85 Bn | 22.88 Bn | 309.80 Mn | 3.41 Bn |
| 9 | Ppg Industries | 24.14 Bn | 16.80 Bn | 1.81 Bn | 13.30 Bn |
| 10 | Fmc | 666.52 Mn | -1.28 Bn | 342.10 Mn | 6.40 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 6.35 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();