Yarrow Bioscience (YARW) Capital Expenditures (2017 - 2020)
Yarrow Bioscience's Capital Expenditures was $117,000 in FY2024.
Analysis
Yarrow Bioscience (YARW) Capital Expenditures (2017 - 2020) Analysis & Trends
From FY2016 onward, Yarrow Bioscience has reported Capital Expenditures for 6 years.
- Capital Expenditures shows a five-year compound annual growth rate of -35.6% (FY2019 to FY2024).
- The FY2024 figure marks the highest annual Capital Expenditures since FY2019.
- Per Business Quant data, Capital Expenditures in earlier years was $113,000 in FY2020 (-89.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.32 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 322.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 893.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -321.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -763.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 513.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 140.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 533.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 112.20 Mn |
| 10 | Yarrow Bioscience | 19.32 Mn | -97.19 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | 71,000.00 |
| Mar 31, 2020 | 42,000.00 |
| Dec 31, 2019 | 197,000.00 |
| Sep 30, 2019 | 407,000.00 |
| Jun 30, 2019 | 316,000.00 |
| Mar 31, 2019 | 138,000.00 |
| Dec 31, 2018 | 449,000.00 |
| Dec 31, 2017 | 12,000.00 |
API Access
Yarrow Bioscience Capital Expenditures 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=capital-expenditures&ticker=YARW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "YARW", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=YARW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();