Nutrien (NTR) Change in Inventory (2017 - 2023)
Nutrien's Change in Inventory was $846 million in the quarter ended Sep 30, 2023, up 63.6% from $517 million a year earlier but down 77.3% from the prior quarter.
Nutrien (NTR) Change in Inventory (2017 - 2023) Analysis & Trends
On a trailing twelve-month basis, Nutrien's Change in Inventory was $1.47 billion through Sep 30, 2023; for the year ended Dec 31, 2022, it was -$1.28 billion.
- In earlier years, Change in Inventory was -$1.46 billion in the year ended Dec 31, 2021, $85 million in the year ended Dec 31, 2020 (-55.3%), $190 million in the year ended Dec 31, 2019 and -$887 million in the year ended Dec 31, 2018.
- Quarterly Change in Inventory has moved between -$2.61 billion (the quarter ended Mar 31, 2022) and $3.73 billion (the quarter ended Jun 30, 2023) over five years.
- Compared with a year earlier, Change in Inventory was higher in three of the last four quarters, with growth averaging 117.3%.
- The best year-over-year quarter for Change in Inventory over five years was the quarter ended Sep 30, 2019 (growth of 319.4%); the worst was the quarter ended Sep 30, 2021 (a decline of 68.1%).
- Per Business Quant data, NTR's Change in Inventory in the three quarters before the quarter ended Sep 30, 2023 was $3.73 billion (quarter ended Jun 30, 2023), -$2.17 billion (quarter ended Mar 31, 2023) and -$937 million (quarter ended Dec 31, 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 41.00 Mn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 145.00 Mn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | - |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | -14.90 Mn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | -788.00 Mn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 425.00 Mn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | - |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | - |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 87.00 Mn |
| 10 | Ppg Industries | 23.19 Bn | 15.99 Bn | 1.81 Bn | 33.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 846.00 Mn |
| Jun 30, 2023 | 3.73 Bn |
| Mar 31, 2023 | -2.17 Bn |
| Dec 31, 2022 | -937.00 Mn |
| Sep 30, 2022 | 517.00 Mn |
| Jun 30, 2022 | 1.75 Bn |
| Mar 31, 2022 | -2.61 Bn |
| Dec 31, 2021 | -1.65 Bn |
| Sep 30, 2021 | 130.00 Mn |
| Jun 30, 2021 | 1.85 Bn |
| Mar 31, 2021 | -1.79 Bn |
| Dec 31, 2020 | -1.07 Bn |
| Sep 30, 2020 | 407.00 Mn |
| Jun 30, 2020 | 2.17 Bn |
| Mar 31, 2020 | -1.43 Bn |
| Dec 31, 2019 | -1.05 Bn |
| Sep 30, 2019 | 541.00 Mn |
| Jun 30, 2019 | 2.21 Bn |
| Mar 31, 2019 | -1.51 Bn |
| Dec 31, 2018 | -1.01 Bn |
Nutrien Change in 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=change-in-inventory&ticker=NTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-inventory&ticker=NTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();