Nutrien (NTR) Selling, General & Administrative (2016 - 2026)
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Analysis
Nutrien (NTR) Selling, General & Administrative (2016 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 242.21 Bn | 224.35 Bn | 4.44 Bn | 892.00 Mn |
| 2 | Corning | 102.99 Bn | 95.28 Bn | 1.81 Bn | 563.00 Mn |
| 3 | Sherwin Williams | 84.89 Bn | 83.91 Bn | 3.28 Bn | 2.07 Bn |
| 4 | Air Products & Chemicals | 70.23 Bn | 70.23 Bn | - | 228.20 Mn |
| 5 | LyondellBasell Industries | 41.26 Bn | 29.44 Bn | 1.50 Bn | 394.00 Mn |
| 6 | Nutrien | 34.33 Bn | 30.90 Bn | 1.86 Bn | 158.00 Mn |
| 7 | Ppg Industries | 27.04 Bn | 20.10 Bn | 1.76 Bn | 876.00 Mn |
| 8 | Ati | 24.74 Bn | 22.70 Bn | 380.20 Mn | 107.70 Mn |
| 9 | Qnity Electronics | 24.47 Bn | 20.62 Bn | 743.00 Mn | 200.00 Mn |
| 10 | Dow | 23.74 Bn | 7.70 Bn | 1.38 Bn | 408.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 158.00 Mn |
| Jun 30, 2026 | 169.00 Mn |
| Mar 31, 2026 | 164.00 Mn |
| Dec 31, 2025 | 156.00 Mn |
| Sep 30, 2025 | 144.00 Mn |
| Jun 30, 2025 | 148.00 Mn |
| Mar 31, 2025 | 152.00 Mn |
| Dec 31, 2024 | 176.00 Mn |
| Sep 30, 2024 | 156.00 Mn |
| Jun 30, 2024 | 158.00 Mn |
| Mar 31, 2024 | 154.00 Mn |
| Dec 31, 2023 | 173.00 Mn |
| Sep 30, 2023 | 151.00 Mn |
| Jun 30, 2023 | 157.00 Mn |
| Mar 31, 2023 | 145.00 Mn |
| Dec 31, 2022 | 162.00 Mn |
| Sep 30, 2022 | 137.00 Mn |
| Jun 30, 2022 | 140.00 Mn |
| Mar 31, 2022 | 126.00 Mn |
| Dec 31, 2021 | 148.00 Mn |
API Access
Nutrien Selling, General & Administrative 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=selling-general-and-administrative&ticker=NTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=NTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();