Rallybio (RLYB) Capital Expenditures (2020 - 2023)
Rallybio's Capital Expenditures came in at $12,000 for Q4 2023.
Powered by 
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 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 3.18 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 1.36 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 301.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 1.04 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -3.30 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 587.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 237.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 573.00 Mn |
| 10 | Rallybio | 84.05 Mn | -201.02 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();