Corteva (CTVA) Operating Expenses (2018 - 2026)
Corteva (CTVA) posted Operating Expenses of $1.6 billion for Q2 2026, down 0.6% from $1.61 billion a year earlier but up 22.2% from the prior quarter.
Corteva (CTVA) Operating Expenses (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Corteva was $5.31 billion, up 7.0% year-over-year; for FY2025, it came in at $5.11 billion, up 4.6% from FY2024.
- Annual Operating Expenses has increased for six consecutive years, with a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- In prior years, Corteva's Operating Expenses was $4.89 billion in FY2024 (+0.8%), $4.85 billion in FY2023 (+2.0%), $4.75 billion in FY2022 (+1.4%) and $4.69 billion in FY2021 (+3.7%).
- Quarterly Operating Expenses has run from a low of $995 million in Q3 2021 to a high of $1.61 billion in Q2 2025 over five years.
- On a year-over-year basis, Operating Expenses increased in five of the last eight quarters, with growth averaging 3.6%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2026, with growth of 18.2%; the weakest was Q4 2024, with a decline of 10.8%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $1.31 billion (Q1 2026), $1.29 billion (Q4 2025) and $1.11 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.21 Bn | 201.33 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 136.71 Bn | 129.84 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 80.23 Bn | 79.27 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 62.17 Bn | 60.07 Bn | 1.04 Bn | 3.15 Bn |
| 5 | Corteva | 51.95 Bn | 40.75 Bn | 3.66 Bn | 1.60 Bn |
| 6 | LyondellBasell Industries | 37.59 Bn | 27.21 Bn | 2.04 Bn | 7.63 Bn |
| 7 | Nutrien | 34.30 Bn | 31.17 Bn | 3.25 Bn | 169.00 Mn |
| 8 | Qnity Electronics | 26.28 Bn | 23.71 Bn | 666.00 Mn | 298.00 Mn |
| 9 | Ati | 25.72 Bn | 23.87 Bn | 309.80 Mn | 99.60 Mn |
| 10 | Ppg Industries | 23.55 Bn | 16.36 Bn | 1.81 Bn | 1.15 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.60 Bn |
| Mar 31, 2026 | 1.31 Bn |
| Dec 31, 2025 | 1.29 Bn |
| Sep 30, 2025 | 1.11 Bn |
| Jun 30, 2025 | 1.61 Bn |
| Mar 31, 2025 | 1.11 Bn |
| Dec 31, 2024 | 1.19 Bn |
| Sep 30, 2024 | 1.05 Bn |
| Jun 30, 2024 | 1.50 Bn |
| Mar 31, 2024 | 1.14 Bn |
| Dec 31, 2023 | 1.33 Bn |
| Sep 30, 2023 | 1.01 Bn |
| Jun 30, 2023 | 1.43 Bn |
| Mar 31, 2023 | 1.08 Bn |
| Dec 31, 2022 | 1.17 Bn |
| Sep 30, 2022 | 1.12 Bn |
| Jun 30, 2022 | 1.46 Bn |
| Mar 31, 2022 | 1.01 Bn |
| Dec 31, 2021 | 1.15 Bn |
| Sep 30, 2021 | 995.00 Mn |
Corteva Operating Expenses 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-expenses&ticker=CTVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CTVA", "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-expenses&ticker=CTVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();