Acro Biomedical (ACBM) Receivables - Net (2021 - 2023)
Acro Biomedical's Receivables - Net came in at $498,500 for Q2 2023, up 67.0% from $298,500 a year earlier but down 18.1% from the prior quarter.
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Analysis
Acro Biomedical (ACBM) Receivables - Net (2021 - 2023) Analysis & Trends
At the end of FY2022, Acro Biomedical's Receivables - Net was $638,500, up 6.8% from FY2021.
- Going back by year, Receivables - Net was $598,000 in FY2021.
- The five-year range for quarterly Receivables - Net is $278,500 (Q3 2022) to $638,500 (Q4 2022).
- Year-over-year, Receivables - Net has increased for three consecutive quarters.
- Business Quant data shows ACBM's Receivables - Net at $608,500 (Q1 2023), $638,500 (Q4 2022) and $278,500 (Q3 2022) in the three quarters before Q2 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn |
| 10 | Acro Biomedical | 1.80 Mn | 1.79 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 498,500.00 |
| Mar 31, 2023 | 608,500.00 |
| Dec 31, 2022 | 638,500.00 |
| Sep 30, 2022 | 278,500.00 |
| Jun 30, 2022 | 298,500.00 |
| Mar 31, 2022 | 298,500.00 |
| Dec 31, 2021 | 598,000.00 |
API Access
Acro Biomedical Receivables - Net 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-net&ticker=ACBM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "ticker": "ACBM", "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-net&ticker=ACBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();