Bausch & Lomb (BLCO) Receivables - Other (2021 - 2023)
Bausch & Lomb (BLCO) posted Receivables - Other of $95 million for Q1 2023, up 17.3% from $81 million a year earlier but down 6.9% from the prior quarter.
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Analysis
Bausch & Lomb (BLCO) Receivables - Other (2021 - 2023) Analysis & Trends
At the end of FY2022, Bausch & Lomb's Receivables - Other came in at $102 million, up 218.8% from FY2021.
- In prior years, Bausch & Lomb's Receivables - Other was $32 million in FY2021.
- Quarterly Receivables - Other has run from a low of $32 million in Q4 2021 to a high of $102 million in Q4 2022 over five years.
- According to Business Quant data, Receivables - Other for the three prior quarters was $102 million (Q4 2022), $82 million (Q3 2022) and $78 million (Q2 2022).
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 |
|---|---|
| Mar 31, 2023 | 95.00 Mn |
| Dec 31, 2022 | 102.00 Mn |
| Sep 30, 2022 | 82.00 Mn |
| Jun 30, 2022 | 78.00 Mn |
| Mar 31, 2022 | 81.00 Mn |
| Dec 31, 2021 | 32.00 Mn |
API Access
Bausch & Lomb Receivables - Other 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=receivables-other&ticker=BLCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-other", "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=receivables-other&ticker=BLCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();