Bausch & Lomb (BLCO) Accumulated Expenses (2021 - 2026)
Bausch & Lomb (BLCO) recorded Accumulated Expenses of $1.42 billion in Q2 2026, up 4.3% from $1.36 billion a year earlier and up 3.4% from the prior quarter.
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Analysis
Bausch & Lomb (BLCO) Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2025, Bausch & Lomb reported Accumulated Expenses of $1.49 billion, up 14.1% from FY2024.
- Annual Accumulated Expenses has increased for four straight years, with a four-year compound annual growth rate of 14.8% (FY2021 to FY2025).
- Across earlier years, Accumulated Expenses came in at $1.31 billion in FY2024 (+27.5%), $1.03 billion in FY2023 (+14.0%), $901 million in FY2022 (+4.8%) and $860 million in FY2021.
- Quarterly Accumulated Expenses has ranged from $840 million in Q1 2023 to $1.49 billion in Q4 2025 over the past five years.
- On a year-over-year basis, Accumulated Expenses has increased for 13 consecutive quarters, with growth averaging 14.7% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 38.2% in Q1 2024, against a decline of 0.1% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.37 billion (Q1 2026), $1.49 billion (Q4 2025) and $1.47 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Bausch & Lomb | 6.07 Bn | 4.81 Bn | 867.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.42 Bn |
| Mar 31, 2026 | 1.37 Bn |
| Dec 31, 2025 | 1.49 Bn |
| Sep 30, 2025 | 1.47 Bn |
| Jun 30, 2025 | 1.36 Bn |
| Mar 31, 2025 | 1.26 Bn |
| Dec 31, 2024 | 1.31 Bn |
| Sep 30, 2024 | 1.32 Bn |
| Jun 30, 2024 | 1.24 Bn |
| Mar 31, 2024 | 1.16 Bn |
| Dec 31, 2023 | 1.03 Bn |
| Sep 30, 2023 | 992.00 Mn |
| Jun 30, 2023 | 952.00 Mn |
| Mar 31, 2023 | 840.00 Mn |
| Dec 31, 2022 | 901.00 Mn |
| Sep 30, 2022 | 879.00 Mn |
| Jun 30, 2022 | 891.00 Mn |
| Mar 31, 2022 | 841.00 Mn |
| Dec 31, 2021 | 860.00 Mn |
API Access
Bausch & Lomb Accumulated 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=accumulated-expenses&ticker=BLCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "BLCO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=BLCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();