Acro Biomedical (ACBM) Return on Sales [ROS] (2017 - 2023)
Acro Biomedical (ACBM) reported Return on Sales [ROS] of -3533.57% for Q3 2023, down 1772.45 percentage points from -1761.12% a year earlier but up 672.81 percentage points from the prior quarter.
Acro Biomedical (ACBM) Return on Sales [ROS] (2017 - 2023) Analysis & Trends
For FY2022, Acro Biomedical posted Return on Sales [ROS] of -2409.98%, down 1767.51 percentage points from FY2021.
- Return on Sales [ROS] has a five-year change of -2409.54 percentage points (FY2017 to FY2022).
- By year, Return on Sales [ROS] came in at -642.47% in FY2021, -218.44% in FY2019 and 6.43% in FY2018 (+6.87 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -4429.09% in Q1 2023 and a high of 11.85% in Q1 2020.
- Year over year, Return on Sales [ROS] has now declined in each of the last seven quarters, with an average year-over-year change of -1678.42 percentage points over the last seven quarters.
- The year-over-year drop in Return on Sales [ROS] has ranged between 4.52 percentage points (Q2 2019) and 3112.98 percentage points (Q1 2023) over the last five years.
- Per Business Quant data, the three quarters before Q3 2023 came in at -4206.38% (Q2 2023), -4429.09% (Q1 2023) and -1092.75% (Q4 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 336.76 Bn | 292.75 Bn | 10.28 Bn | 18.63% |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn | 18.95% |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn | -1.08% |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn | 17.67% |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn | 15.11% |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn | 18.07% |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn | 24.33% |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn | 21.37% |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn | 14.62% |
| 10 | Acro Biomedical | 1.80 Mn | 1.79 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | -3,533.57% |
| Jun 30, 2023 | -4,206.38% |
| Mar 31, 2023 | -4,429.09% |
| Dec 31, 2022 | -1,092.75% |
| Sep 30, 2022 | -1,761.12% |
| Jun 30, 2022 | -1,647.33% |
| Mar 31, 2022 | -1,316.11% |
| Dec 31, 2021 | -644.25% |
| Sep 30, 2021 | -652.63% |
| Jun 30, 2021 | -158.66% |
| Mar 31, 2021 | -57.28% |
| Sep 30, 2020 | -14.54% |
| Jun 30, 2020 | -13.74% |
| Mar 31, 2020 | 11.85% |
| Dec 31, 2019 | -38.98% |
| Jun 30, 2019 | -5.74% |
| Mar 31, 2019 | 0.48% |
| Dec 31, 2018 | -6.96% |
| Sep 30, 2018 | 6.69% |
| Jun 30, 2018 | 8.01% |
Acro Biomedical Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=ACBM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=ACBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();