Organon (OGN) Other Operating Expenses (2022 - 2024)
Organon's Other Operating Expenses was -$622 million in Q3 2026, compared with -$661 million a year earlier.
Organon (OGN) Other Operating Expenses (2022 - 2024) Analysis & Trends
On a trailing twelve-month basis, Organon's Other Operating Expenses was -$2.5 billion through Sep 30, 2026; for FY2025, it was -$2.54 billion.
- In earlier years, Other Operating Expenses was -$2.22 billion in FY2024, -$1.99 billion in FY2023, -$1.82 billion in FY2022 and -$2.04 billion in FY2021.
- Quarterly Other Operating Expenses has moved between -$675 million (Q4 2025) and -$424 million (Q3 2022) over five years.
- Per Business Quant data, OGN's Other Operating Expenses in the three quarters before Q3 2026 was -$621 million (Q2 2026), -$584 million (Q1 2026) and -$675 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Organon | 3.65 Bn | -629.18 Mn | 869.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 820.00 Mn |
| Dec 31, 2023 | 833.00 Mn |
| Sep 30, 2023 | 764.00 Mn |
| Mar 31, 2023 | 735.00 Mn |
| Dec 31, 2022 | 745.00 Mn |
| Sep 30, 2022 | 677.00 Mn |
Organon Other 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=other-operating-expenses&ticker=OGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=OGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();