Nutrien (NTR) Finished Goods (2017 - 2025)
Nutrien (NTR) reported Finished Goods of $475 million for the quarter ended Dec 31, 2025, up 33.1% from $357 million a year earlier.
Analysis
Nutrien (NTR) Finished Goods (2017 - 2025) Analysis & Trends
Dating back to the quarter ended Dec 31, 2017, Nutrien's Finished Goods record includes 9 quarters.
- Finished Goods has a five-year compound annual growth rate of 4.3% (years ended Dec 2020 to Dec 2025).
- By year, Finished Goods came in at $357 million in the year ended Dec 31, 2024 (+1.7%), $351 million in the year ended Dec 31, 2023 (-42.6%), $612 million in the year ended Dec 31, 2022 (+49.3%) and $410 million in the year ended Dec 31, 2021 (+6.8%).
- The figure for the quarter ended Dec 31, 2025 ranks as the highest quarterly Finished Goods since the quarter ended Dec 31, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 218.21 Bn | 201.33 Bn | 4.43 Bn |
| 2 | Corning | 136.71 Bn | 129.84 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 80.23 Bn | 79.27 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 62.17 Bn | 60.07 Bn | 1.04 Bn |
| 5 | Corteva | 51.95 Bn | 40.75 Bn | 3.66 Bn |
| 6 | LyondellBasell Industries | 37.59 Bn | 27.21 Bn | 2.04 Bn |
| 7 | Nutrien | 34.30 Bn | 31.17 Bn | 3.25 Bn |
| 8 | Qnity Electronics | 26.28 Bn | 23.71 Bn | 666.00 Mn |
| 9 | Ati | 25.72 Bn | 23.87 Bn | 309.80 Mn |
| 10 | Ppg Industries | 23.55 Bn | 16.36 Bn | 1.81 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 475.00 Mn |
| Dec 31, 2024 | 357.00 Mn |
| Dec 31, 2023 | 351.00 Mn |
| Dec 31, 2022 | 612.00 Mn |
| Dec 31, 2021 | 410.00 Mn |
| Dec 31, 2020 | 384.00 Mn |
| Dec 31, 2019 | 524.00 Mn |
| Dec 31, 2018 | 501.00 Mn |
| Dec 31, 2017 | 260.00 Mn |
API Access
Nutrien Finished Goods 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=finished-goods&ticker=NTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=NTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();