Nutrien (NTR) Operating Leases (2018 - 2026)
Nutrien (NTR) reported Operating Leases of $974 million for the quarter ended Jun 30, 2026, down 1.4% from $988 million a year earlier but up 1.8% from the prior quarter.
Nutrien (NTR) Operating Leases (2018 - 2026) Analysis & Trends
As of Dec 31, 2025, Nutrien posted Operating Leases of $937 million, down 6.2% from the prior year.
- Operating Leases has a five-year compound annual growth rate of 1.0% (years ended Dec 2020 to Dec 2025).
- By year, Operating Leases came in at $999 million in the year ended Dec 31, 2024 (unchanged), $999 million in the year ended Dec 31, 2023 (+11.1%), $899 million in the year ended Dec 31, 2022 (-3.7%) and $934 million in the year ended Dec 31, 2021 (+4.8%).
- Five-year quarterly Operating Leases spans a low of $861 million in the quarter ended Jun 30, 2023 and a high of $1.03 billion in the quarter ended Mar 31, 2024.
- Year over year, Operating Leases has now declined in each of the last six quarters, with an average decline of 1.5% over the last eight quarters.
- The high point for year-over-year Operating Leases in five years was the quarter ended Jun 30, 2024 (growth of 18.9%); the low point was the quarter ended Sep 30, 2025 (a decline of 7.3%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $957 million (quarter ended Mar 31, 2026), $937 million (quarter ended Dec 31, 2025) and $954 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 217.60 Bn | 200.72 Bn | 4.43 Bn |
| 2 | Corning | 130.50 Bn | 123.63 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 80.80 Bn | 79.84 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 62.07 Bn | 59.97 Bn | 1.04 Bn |
| 5 | Corteva | 51.85 Bn | 40.65 Bn | 3.66 Bn |
| 6 | LyondellBasell Industries | 37.65 Bn | 27.27 Bn | 2.04 Bn |
| 7 | Nutrien | 34.70 Bn | 31.57 Bn | 3.25 Bn |
| 8 | Qnity Electronics | 26.13 Bn | 23.56 Bn | 666.00 Mn |
| 9 | Ati | 24.61 Bn | 22.75 Bn | 309.80 Mn |
| 10 | Ppg Industries | 23.77 Bn | 16.57 Bn | 1.81 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 974.00 Mn |
| Mar 31, 2026 | 957.00 Mn |
| Dec 31, 2025 | 937.00 Mn |
| Sep 30, 2025 | 954.00 Mn |
| Jun 30, 2025 | 988.00 Mn |
| Mar 31, 2025 | 998.00 Mn |
| Dec 31, 2024 | 999.00 Mn |
| Sep 30, 2024 | 1.03 Bn |
| Jun 30, 2024 | 1.02 Bn |
| Mar 31, 2024 | 1.03 Bn |
| Dec 31, 2023 | 999.00 Mn |
| Sep 30, 2023 | 901.00 Mn |
| Jun 30, 2023 | 861.00 Mn |
| Mar 31, 2023 | 880.00 Mn |
| Dec 31, 2022 | 899.00 Mn |
| Sep 30, 2022 | 884.00 Mn |
| Jun 30, 2022 | 913.00 Mn |
| Mar 31, 2022 | 929.00 Mn |
| Dec 31, 2021 | 934.00 Mn |
| Sep 30, 2021 | 896.00 Mn |
Nutrien Operating Leases 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=operating-leases&ticker=NTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=NTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();