Rallybio (RLYB) Operating Leases (2022 - 2026)
Rallybio (RLYB) recorded Operating Leases of $55,000 in Q1 2026, down 32.9% from the prior quarter.
Analysis
Rallybio (RLYB) Operating Leases (2022 - 2026) Analysis & Trends
At the end of FY2025, Rallybio reported Operating Leases of $82,000.
- Annual Operating Leases has a three-year compound annual growth rate of -39.7% (FY2022 to FY2025).
- Across earlier years, Operating Leases came in at $173,000 in FY2023 (-53.7%) and $374,000 in FY2022.
- The Q1 2026 figure is the lowest quarterly Operating Leases in data going back to Q1 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | Rallybio | 90.48 Mn | 90.48 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 55,000.00 |
| Dec 31, 2025 | 82,000.00 |
| Sep 30, 2025 | 108,000.00 |
| Jun 30, 2024 | 58,000.00 |
| Mar 31, 2024 | 116,000.00 |
| Dec 31, 2023 | 173,000.00 |
| Sep 30, 2023 | 211,000.00 |
| Jun 30, 2023 | 266,000.00 |
| Mar 31, 2023 | 321,000.00 |
| Dec 31, 2022 | 374,000.00 |
| Sep 30, 2022 | 428,000.00 |
| Jun 30, 2022 | 478,000.00 |
| Mar 31, 2022 | 517,000.00 |
API Access
Rallybio 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=RLYB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=RLYB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();