Rallybio (RLYB) Capital Expenditures (2020 - 2023)
Rallybio's Capital Expenditures came in at $12,000 for Q4 2023.
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Analysis
Rallybio (RLYB) Capital Expenditures (2020 - 2023) Analysis & Trends
Going back to Q3 2020, Rallybio's Capital Expenditures data covers 10 quarters.
- Capital Expenditures carries a three-year compound annual growth rate of -55.6% (FY2020 to FY2023).
- Going back by year, Capital Expenditures was $54,000 in FY2022 (-83.8%), $333,000 in FY2021 (+143.1%) and $137,000 in FY2020.
- The Q4 2023 figure represents the highest quarterly Capital Expenditures since Q2 2022.
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 | Rallybio | 91.28 Mn | 91.28 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 12,000.00 |
| Sep 30, 2022 | 4,000.00 |
| Jun 30, 2022 | 14,000.00 |
| Mar 31, 2022 | 36,000.00 |
| Dec 31, 2021 | 137,000.00 |
| Sep 30, 2021 | 130,000.00 |
| Jun 30, 2021 | 4,000.00 |
| Mar 31, 2021 | 62,000.00 |
| Dec 31, 2020 | 106,000.00 |
| Sep 30, 2020 | 23,000.00 |
API Access
Rallybio 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=RLYB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "RLYB", "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=RLYB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();