Bausch Health Companies (BHC) Operating Expenses (2009 - 2026)
Bausch Health Companies' Operating Expenses came in at $2.11 billion for Q2 2026, up 1.2% from $2.09 billion a year earlier but down 39.2% from the prior quarter.
Bausch Health Companies (BHC) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Bausch Health Companies reported Operating Expenses of $9.97 billion, up 20.7% year-over-year; for FY2025, it was $8.45 billion, up 4.6% from FY2024.
- Operating Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $8.08 billion in FY2024 (+3.7%), $7.79 billion in FY2023 (+1.6%), $7.67 billion in FY2022 (-3.9%) and $7.98 billion in FY2021 (+8.6%).
- The five-year range for quarterly Operating Expenses is $1.54 billion (Q3 2021) to $3.47 billion (Q1 2026).
- Year-over-year, Operating Expenses has increased for three consecutive quarters, with growth averaging 11.6% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2026 (growth of 75.2%), and the weakest in Q1 2022 (a decline of 27.4%).
- Business Quant data shows BHC's Operating Expenses at $3.47 billion (Q1 2026), $2.32 billion (Q4 2025) and $2.06 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,156.65 Bn | 1,125.24 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 623.47 Bn | 542.00 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 513.29 Bn | 486.41 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 365.54 Bn | 319.91 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 297.49 Bn | 261.48 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.70 Bn | 235.39 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 235.24 Bn | 190.64 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 193.50 Bn | 167.70 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 172.03 Bn | 118.68 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Bausch Health Companies | 2.42 Bn | -3.32 Bn | 2.08 Bn | 2.11 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.11 Bn |
| Mar 31, 2026 | 3.47 Bn |
| Dec 31, 2025 | 2.32 Bn |
| Sep 30, 2025 | 2.06 Bn |
| Jun 30, 2025 | 2.09 Bn |
| Mar 31, 2025 | 1.98 Bn |
| Dec 31, 2024 | 2.00 Bn |
| Sep 30, 2024 | 2.19 Bn |
| Jun 30, 2024 | 2.01 Bn |
| Mar 31, 2024 | 1.87 Bn |
| Dec 31, 2023 | 2.05 Bn |
| Sep 30, 2023 | 2.22 Bn |
| Jun 30, 2023 | 1.76 Bn |
| Mar 31, 2023 | 1.77 Bn |
| Dec 31, 2022 | 2.43 Bn |
| Sep 30, 2022 | 1.80 Bn |
| Jun 30, 2022 | 1.81 Bn |
| Mar 31, 2022 | 1.63 Bn |
| Dec 31, 2021 | 1.83 Bn |
| Sep 30, 2021 | 1.54 Bn |
Bausch Health Companies 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=BHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BHC", "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=BHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();