Acro Biomedical (ACBM) Operating Leases (2019 - 2024)
Acro Biomedical (ACBM) reported Operating Leases of $6,876 for Q3 2024, down 49.6% from the prior quarter.
Analysis
Acro Biomedical (ACBM) Operating Leases (2019 - 2024) Analysis & Trends
At the end of FY2023, Acro Biomedical posted Operating Leases of $26,898.
- Operating Leases has a four-year compound annual growth rate of 4.7% (FY2019 to FY2023).
- By year, Operating Leases came in at $25,719 in FY2021 (+5.0%), $24,500 in FY2020 (+9.6%) and $22,346 in FY2019.
- The Q3 2024 figure ranks as the lowest quarterly Operating Leases since Q3 2022.
- Per Business Quant data, the three quarters before Q3 2024 came in at $13,650 (Q2 2024), $20,324 (Q1 2024) and $26,898 (Q4 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 |
|---|---|
| Sep 30, 2024 | 6,876.00 |
| Jun 30, 2024 | 13,650.00 |
| Mar 31, 2024 | 20,324.00 |
| Dec 31, 2023 | 26,898.00 |
| Sep 30, 2022 | 6,526.00 |
| Jun 30, 2022 | 12,988.00 |
| Mar 31, 2022 | 19,385.00 |
| Dec 31, 2021 | 25,719.00 |
| Sep 30, 2021 | 5,888.00 |
| Dec 30, 2020 | 24,500.00 |
| Sep 30, 2020 | 3,734.00 |
| Jun 30, 2020 | 10,000.00 |
| Mar 31, 2020 | 16,204.00 |
| Dec 31, 2019 | 22,346.00 |
API Access
Acro Biomedical Operating Leases 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=operating-leases&ticker=ACBM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=ACBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();