Organon (OGN) Operating Expenses (2020 - 2026)
Organon's Operating Expenses came in at $524 million for Q2 2026, down 4.7% from $550 million a year earlier and down 4.4% from the prior quarter.
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Analysis
Organon (OGN) Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Organon reported Operating Expenses of $2.1 billion, down 8.3% year-over-year; for FY2025, it was $2.18 billion, down 3.5% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $2.26 billion in FY2024 (-9.0%), $2.48 billion in FY2023 (+12.7%), $2.2 billion in FY2022 (+9.6%) and $2.01 billion in FY2021 (+23.6%).
- The five-year range for quarterly Operating Expenses is $467 million (Q1 2022) to $675 million (Q3 2023).
- Year-over-year, Operating Expenses has declined for five consecutive quarters, with an average decline of 7.0% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2021 (growth of 22.7%), and the weakest in Q3 2024 (a decline of 21.0%).
- Business Quant data shows OGN's Operating Expenses at $548 million (Q1 2026), $531 million (Q4 2025) and $499 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Organon | 3.60 Bn | 106.37 Mn | 847.00 Mn | 524.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 524.00 Mn |
| Mar 31, 2026 | 548.00 Mn |
| Dec 31, 2025 | 531.00 Mn |
| Sep 30, 2025 | 499.00 Mn |
| Jun 30, 2025 | 550.00 Mn |
| Mar 31, 2025 | 602.00 Mn |
| Dec 31, 2024 | 608.00 Mn |
| Sep 30, 2024 | 533.00 Mn |
| Jun 30, 2024 | 553.00 Mn |
| Mar 31, 2024 | 566.00 Mn |
| Dec 31, 2023 | 661.00 Mn |
| Sep 30, 2023 | 675.00 Mn |
| Jun 30, 2023 | 579.00 Mn |
| Mar 31, 2023 | 568.00 Mn |
| Dec 31, 2022 | 629.00 Mn |
| Sep 30, 2022 | 578.00 Mn |
| Jun 30, 2022 | 529.00 Mn |
| Mar 31, 2022 | 467.00 Mn |
| Dec 31, 2021 | 592.00 Mn |
| Sep 30, 2021 | 475.00 Mn |
API Access
Organon 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=OGN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "OGN", "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=OGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();