Bausch & Lomb (BLCO) Change in Accured Expenses (2021 - 2026)
Bausch & Lomb (BLCO) reported Change in Accured Expenses of $95 million for Q2 2026, down 2.1% from $97 million a year earlier.
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Analysis
Bausch & Lomb (BLCO) Change in Accured Expenses (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Bausch & Lomb's Change in Accured Expenses came in at $35 million, down 42.6% year-over-year; for FY2025, it came in at $108 million, down 14.3% from FY2024.
- By year, Change in Accured Expenses came in at $126 million in FY2024 (-48.6%), $245 million in FY2023 (+29.6%), $189 million in FY2022 (+16.0%) and $163 million in FY2021.
- Five-year quarterly Change in Accured Expenses spans a low of -$107 million in Q4 2024 and a high of $188 million in Q4 2023.
- Year over year, Change in Accured Expenses gained in two of the last four quarters, with growth averaging 12.7%.
- The high point for year-over-year Change in Accured Expenses in five years was Q2 2024 (growth of 228.6%); the low point was Q3 2022 (a decline of 98.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$94 million (Q1 2026), -$2 million (Q4 2025) and $36 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | - |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | -249.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 55.00 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 298.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 234.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 123.70 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | - |
| 10 | Bausch & Lomb | 6.10 Bn | 4.84 Bn | 867.00 Mn | 95.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 95.00 Mn |
| Mar 31, 2026 | -94.00 Mn |
| Dec 31, 2025 | -2.00 Mn |
| Sep 30, 2025 | 36.00 Mn |
| Jun 30, 2025 | 97.00 Mn |
| Mar 31, 2025 | -23.00 Mn |
| Dec 31, 2024 | -107.00 Mn |
| Sep 30, 2024 | 94.00 Mn |
| Jun 30, 2024 | 69.00 Mn |
| Mar 31, 2024 | 70.00 Mn |
| Dec 31, 2023 | 188.00 Mn |
| Sep 30, 2023 | 54.00 Mn |
| Jun 30, 2023 | 21.00 Mn |
| Mar 31, 2023 | -18.00 Mn |
| Dec 31, 2022 | 110.00 Mn |
| Sep 30, 2022 | 1.00 Mn |
| Jun 30, 2022 | 70.00 Mn |
| Mar 31, 2022 | 8.00 Mn |
| Dec 31, 2021 | -77.00 Mn |
| Sep 30, 2021 | 90.00 Mn |
API Access
Bausch & Lomb Change in Accured 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=change-in-accured-expenses&ticker=BLCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=BLCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();