Nutrien (NTR) Inventory (2016 - 2026)
Nutrien's Inventory was $6.16 billion in the quarter ended Jun 30, 2026, up 10.5% from $5.58 billion a year earlier but down 29.0% from the prior quarter.
Nutrien (NTR) Inventory (2016 - 2026) Analysis & Trends
As of Dec 31, 2025, Inventory at Nutrien came in at $6.98 billion, up 13.5% from the prior year.
- Inventory shows a five-year compound annual growth rate of 156.4% (years ended Dec 2020 to Dec 2025).
- In earlier years, Inventory was $6.15 billion in the year ended Dec 31, 2024 (-3.0%), $6.34 billion in the year ended Dec 31, 2023 (-17.0%), $7.63 billion in the year ended Dec 31, 2022 (+20.6%) and $6.33 billion in the year ended Dec 31, 2021.
- Quarterly Inventory has moved between $4.67 billion (the quarter ended Sep 30, 2021) and $9.85 billion (the quarter ended Mar 31, 2023) over five years.
- Compared with a year earlier, Inventory has increased for five straight quarters, with growth averaging 4.4% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was the quarter ended Jun 30, 2022 (growth of 46.8%); the worst was the quarter ended Sep 30, 2023 (a decline of 21.0%).
- Per Business Quant data, NTR's Inventory in the three quarters before the quarter ended Jun 30, 2026 was $8.68 billion (quarter ended Mar 31, 2026), $6.98 billion (quarter ended Dec 31, 2025) and $5.28 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 217.60 Bn | 200.72 Bn | 4.43 Bn | 2.12 Bn |
| 2 | Corning | 130.50 Bn | 123.63 Bn | 1.63 Bn | 3.43 Bn |
| 3 | Sherwin Williams | 80.80 Bn | 79.84 Bn | 3.34 Bn | 2.53 Bn |
| 4 | Air Products & Chemicals | 62.07 Bn | 59.97 Bn | 1.04 Bn | 751.60 Mn |
| 5 | Corteva | 51.85 Bn | 40.65 Bn | 3.66 Bn | 4.44 Bn |
| 6 | LyondellBasell Industries | 37.65 Bn | 27.27 Bn | 2.04 Bn | 4.08 Bn |
| 7 | Nutrien | 34.70 Bn | 31.57 Bn | 3.25 Bn | 6.16 Bn |
| 8 | Qnity Electronics | 26.13 Bn | 23.56 Bn | 666.00 Mn | 730.00 Mn |
| 9 | Ati | 24.61 Bn | 22.75 Bn | 309.80 Mn | 1.67 Bn |
| 10 | Ppg Industries | 23.77 Bn | 16.57 Bn | 1.81 Bn | 2.23 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.16 Bn |
| Mar 31, 2026 | 8.68 Bn |
| Dec 31, 2025 | 6.98 Bn |
| Sep 30, 2025 | 5.28 Bn |
| Jun 30, 2025 | 5.58 Bn |
| Mar 31, 2025 | 7.99 Bn |
| Dec 31, 2024 | 6.15 Bn |
| Sep 30, 2024 | 4.89 Bn |
| Jun 30, 2024 | 5.30 Bn |
| Mar 31, 2024 | 8.19 Bn |
| Dec 31, 2023 | 6.34 Bn |
| Sep 30, 2023 | 5.17 Bn |
| Jun 30, 2023 | 6.06 Bn |
| Mar 31, 2023 | 9.85 Bn |
| Dec 31, 2022 | 7.63 Bn |
| Sep 30, 2022 | 6.55 Bn |
| Jun 30, 2022 | 7.16 Bn |
| Mar 31, 2022 | 9.07 Bn |
| Dec 31, 2021 | 6.33 Bn |
| Sep 30, 2021 | 4.67 Bn |
Nutrien Inventory 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=inventory&ticker=NTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=NTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();