Nutrien (NTR) Total Non-Current Liabilities (2016 - 2026)
Nutrien (NTR) posted Total Non-Current Liabilities of $26.65 billion for Q3 2026, up 0.8% from $26.43 billion a year earlier but down 2.7% from the prior quarter.
Nutrien (NTR) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Nutrien's Total Non-Current Liabilities came in at $26.68 billion, down 2.0% from FY2024.
- Annual Total Non-Current Liabilities has declined for three consecutive years, though with a five-year compound annual growth rate of 1.5% (FY2020 to FY2025).
- In prior years, Nutrien's Total Non-Current Liabilities was $27.23 billion in FY2024 (-0.4%), $27.35 billion in FY2023 (-4.0%), $28.49 billion in FY2022 (+9.4%) and $26.05 billion in FY2021 (+5.1%).
- Quarterly Total Non-Current Liabilities has run from a low of $26.05 billion in Q4 2021 to a high of $31.1 billion in Q1 2023 over five years.
- On a year-over-year basis, Total Non-Current Liabilities increased in three of the last eight quarters, with an average decline of 0.4%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q3 2022, with growth of 12.5%; the weakest was Q1 2024, with a decline of 8.7%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $27.37 billion (Q2 2026), $28.48 billion (Q1 2026) and $26.68 billion (Q4 2025).
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 | Dow | 22.14 Bn | 6.10 Bn | 1.38 Bn | 34.55 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 26.65 Bn |
| Jun 30, 2026 | 27.37 Bn |
| Mar 31, 2026 | 28.48 Bn |
| Dec 31, 2025 | 26.68 Bn |
| Sep 30, 2025 | 26.43 Bn |
| Jun 30, 2025 | 27.91 Bn |
| Mar 31, 2025 | 28.80 Bn |
| Dec 31, 2024 | 27.23 Bn |
| Sep 30, 2024 | 26.73 Bn |
| Jun 30, 2024 | 27.66 Bn |
| Mar 31, 2024 | 28.40 Bn |
| Dec 31, 2023 | 27.35 Bn |
| Sep 30, 2023 | 26.87 Bn |
| Jun 30, 2023 | 28.30 Bn |
| Mar 31, 2023 | 31.10 Bn |
| Dec 31, 2022 | 28.49 Bn |
| Sep 30, 2022 | 27.58 Bn |
| Jun 30, 2022 | 28.44 Bn |
| Mar 31, 2022 | 28.53 Bn |
| Dec 31, 2021 | 26.05 Bn |
Nutrien 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=NTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "NTR", "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=NTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();