Rallybio (RLYB) Operating Expenses (2020 - 2026)
Rallybio's Operating Expenses came in at $5.65 million for Q2 2026, down 45.0% from $10.27 million a year earlier and down 36.8% from the prior quarter.
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Analysis
Rallybio (RLYB) Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Rallybio reported Operating Expenses of $28.37 million, down 35.8% year-over-year; for FY2025, it was $33.92 million, down 44.5% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $61.13 million in FY2024 (-22.6%), $78.93 million in FY2023 (+16.3%), $67.88 million in FY2022 (+48.7%) and $45.65 million in FY2021 (+80.4%).
- The Q2 2026 figure represents the lowest quarterly Operating Expenses since Q2 2020.
- Year-over-year, Operating Expenses has declined for nine consecutive quarters, with an average decline of 38.9% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2022 (growth of 89.0%), and the weakest in Q1 2025 (a decline of 50.1%).
- Business Quant data shows RLYB's Operating Expenses at $8.95 million (Q1 2026), $6.63 million (Q4 2025) and $7.14 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Rallybio | 92.10 Mn | -161.60 Mn | - | 5.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.65 Mn |
| Mar 31, 2026 | 8.95 Mn |
| Dec 31, 2025 | 6.63 Mn |
| Sep 30, 2025 | 7.14 Mn |
| Jun 30, 2025 | 10.27 Mn |
| Mar 31, 2025 | 9.88 Mn |
| Dec 31, 2024 | 11.65 Mn |
| Sep 30, 2024 | 12.37 Mn |
| Jun 30, 2024 | 17.33 Mn |
| Mar 31, 2024 | 19.79 Mn |
| Dec 31, 2023 | 21.11 Mn |
| Sep 30, 2023 | 19.36 Mn |
| Jun 30, 2023 | 20.08 Mn |
| Mar 31, 2023 | 18.37 Mn |
| Dec 31, 2022 | 17.09 Mn |
| Sep 30, 2022 | 18.86 Mn |
| Jun 30, 2022 | 17.62 Mn |
| Mar 31, 2022 | 14.32 Mn |
| Dec 31, 2021 | 12.31 Mn |
| Sep 30, 2021 | 9.98 Mn |
API Access
Rallybio Operating 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=operating-expenses&ticker=RLYB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=RLYB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();