Bausch & Lomb (BLCO) Selling, General & Administrative (2021 - 2026)
Bausch & Lomb (BLCO) recorded Selling, General & Administrative of $588 million in Q2 2026, up 1.6% from $579 million a year earlier and up 8.1% from the prior quarter.
Bausch & Lomb (BLCO) Selling, General & Administrative (2021 - 2026) Analysis & Trends
On a TTM basis, Bausch & Lomb's Selling, General & Administrative came in at $2.22 billion as of Jun 30, 2026, up 1.8% year-over-year; for FY2025, it was $2.23 billion, up 7.3% from FY2024.
- Annual Selling, General & Administrative has increased for five straight years, with a five-year compound annual growth rate of 12.3% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $2.08 billion in FY2024 (+19.9%), $1.74 billion in FY2023 (+17.5%), $1.48 billion in FY2022 (+6.4%) and $1.39 billion in FY2021 (+10.9%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative in data going back to Q1 2021.
- On a year-over-year basis, Selling, General & Administrative rose in seven of the last eight quarters, with growth averaging 7.5%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 28.3% in Q2 2024, against a decline of 3.4% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $544 million (Q1 2026), $564 million (Q4 2025) and $528 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 2.33 Bn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 4.03 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 2.07 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 617.90 Mn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 3.20 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 2.23 Bn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 1.80 Bn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 561.20 Mn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 1.26 Bn |
| 10 | Bausch & Lomb | 6.05 Bn | 4.79 Bn | 867.00 Mn | 588.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 588.00 Mn |
| Mar 31, 2026 | 544.00 Mn |
| Dec 31, 2025 | 564.00 Mn |
| Sep 30, 2025 | 528.00 Mn |
| Jun 30, 2025 | 579.00 Mn |
| Mar 31, 2025 | 563.00 Mn |
| Dec 31, 2024 | 532.00 Mn |
| Sep 30, 2024 | 511.00 Mn |
| Jun 30, 2024 | 535.00 Mn |
| Mar 31, 2024 | 504.00 Mn |
| Dec 31, 2023 | 483.00 Mn |
| Sep 30, 2023 | 418.00 Mn |
| Jun 30, 2023 | 417.00 Mn |
| Mar 31, 2023 | 418.00 Mn |
| Dec 31, 2022 | 386.00 Mn |
| Sep 30, 2022 | 381.00 Mn |
| Jun 30, 2022 | 368.00 Mn |
| Mar 31, 2022 | 343.00 Mn |
| Dec 31, 2021 | 365.00 Mn |
| Sep 30, 2021 | 348.00 Mn |
Bausch & Lomb Selling, General & Administrative 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=selling-general-and-administrative&ticker=BLCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=BLCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();