Rallybio (RLYB) Research & Development (2020 - 2026)
Rallybio (RLYB) recorded Research & Development of $758,000 in Q2 2026, down 87.5% from $6.07 million a year earlier and down 73.6% from the prior quarter.
Rallybio (RLYB) Research & Development (2020 - 2026) Analysis & Trends
On a TTM basis, Rallybio's Research & Development came in at $11.43 million as of Jun 30, 2026, down 58.3% year-over-year; for FY2025, it came in at $19.6 million, down 52.8% from FY2024.
- Annual Research & Development has a five-year compound annual growth rate of 2.1% (FY2020 to FY2025).
- Across earlier years, Research & Development came in at $41.51 million in FY2024 (-22.5%), $53.54 million in FY2023 (+31.6%), $40.69 million in FY2022 (+51.2%) and $26.91 million in FY2021 (+52.6%).
- The Q2 2026 figure is the lowest quarterly Research & Development in data going back to Q2 2020.
- On a year-over-year basis, Research & Development has declined for nine consecutive quarters, with an average decline of 54.8% over the last eight quarters.
- Peak year-over-year performance for Research & Development in the last five years was growth of 144.2% in Q3 2022, against a decline of 87.5% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.87 million (Q1 2026), $3.66 million (Q4 2025) and $4.14 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 3.65 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 2.34 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 9.74 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -2.85 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -4.05 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 1.87 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 1.76 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 2.81 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 993.80 Mn |
| 10 | Rallybio | 91.28 Mn | 91.28 Mn | - | 758,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 758,000.00 |
| Mar 31, 2026 | 2.87 Mn |
| Dec 31, 2025 | 3.66 Mn |
| Sep 30, 2025 | 4.14 Mn |
| Jun 30, 2025 | 6.07 Mn |
| Mar 31, 2025 | 5.73 Mn |
| Dec 31, 2024 | 7.39 Mn |
| Sep 30, 2024 | 8.24 Mn |
| Jun 30, 2024 | 12.95 Mn |
| Mar 31, 2024 | 12.94 Mn |
| Dec 31, 2023 | 15.92 Mn |
| Sep 30, 2023 | 13.29 Mn |
| Jun 30, 2023 | 13.13 Mn |
| Mar 31, 2023 | 11.20 Mn |
| Dec 31, 2022 | 10.79 Mn |
| Sep 30, 2022 | 12.11 Mn |
| Jun 30, 2022 | 10.14 Mn |
| Mar 31, 2022 | 7.65 Mn |
| Dec 31, 2021 | 6.09 Mn |
| Sep 30, 2021 | 4.96 Mn |
Rallybio Research & Development 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=research-and-development&ticker=RLYB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=RLYB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();