Rallybio (RLYB) Accumulated Expenses (2020 - 2026)
Rallybio's Accumulated Expenses came in at $1.47 million for Q2 2026, down 65.3% from $4.23 million a year earlier and down 52.8% from the prior quarter.
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Analysis
Rallybio (RLYB) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Rallybio's Accumulated Expenses was $3.79 million, down 23.6% from FY2024.
- Accumulated Expenses has declined in each of the last three years, with a five-year compound annual growth rate of -2.3% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $4.96 million in FY2024 (-38.5%), $8.07 million in FY2023 (-14.6%), $9.45 million in FY2022 (+58.9%) and $5.95 million in FY2021 (+39.5%).
- The Q2 2026 figure represents the lowest quarterly Accumulated Expenses in data going back to Q4 2020.
- Year-over-year, Accumulated Expenses increased in 1 of the last eight quarters, with an average decline of 37.8%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q3 2022 (growth of 117.1%), and the weakest in Q1 2025 (a decline of 72.9%).
- Business Quant data shows RLYB's Accumulated Expenses at $3.1 million (Q1 2026), $3.79 million (Q4 2025) and $3.74 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn |
| 10 | Rallybio | 88.94 Mn | 88.94 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.47 Mn |
| Mar 31, 2026 | 3.10 Mn |
| Dec 31, 2025 | 3.79 Mn |
| Sep 30, 2025 | 3.74 Mn |
| Jun 30, 2025 | 4.23 Mn |
| Mar 31, 2025 | 2.55 Mn |
| Dec 31, 2024 | 4.96 Mn |
| Sep 30, 2024 | 6.28 Mn |
| Jun 30, 2024 | 9.52 Mn |
| Mar 31, 2024 | 9.39 Mn |
| Dec 31, 2023 | 8.07 Mn |
| Sep 30, 2023 | 8.72 Mn |
| Jun 30, 2023 | 7.15 Mn |
| Mar 31, 2023 | 5.82 Mn |
| Dec 31, 2022 | 9.45 Mn |
| Sep 30, 2022 | 10.30 Mn |
| Jun 30, 2022 | 6.50 Mn |
| Mar 31, 2022 | 4.60 Mn |
| Dec 31, 2021 | 5.95 Mn |
| Sep 30, 2021 | 4.75 Mn |
API Access
Rallybio Accumulated Expenses 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=accumulated-expenses&ticker=RLYB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=RLYB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();