GH Research (GHRS) Cash & Equivalents (2020 - 2026)
GH Research's Cash & Equivalents was $345.05 million in Q2 2026, up 35.9% from $253.87 million a year earlier and up 42.2% from the prior quarter.
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Analysis
GH Research (GHRS) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at GH Research came in at $246.25 million, up 144.3% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of 245.8% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $100.79 million in FY2024 (-39.3%), $165.96 million in FY2023 (-40.0%), $276.78 million in FY2022 (unchanged) and $276.78 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Cash & Equivalents in data going back to Q4 2020.
- Compared with a year earlier, Cash & Equivalents was higher in seven of the last eight quarters, with growth averaging 99.6%.
- The best year-over-year quarter for Cash & Equivalents over five years was Q1 2025 (growth of 216.1%); the worst was Q3 2023 (a decline of 66.4%).
- Per Business Quant data, GHRS's Cash & Equivalents in the three quarters before Q2 2026 was $242.65 million (Q1 2026), $246.25 million (Q4 2025) and $249.65 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 976.00 Mn |
| 10 | GH Research | 1.42 Bn | 262.62 Mn | - | 345.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 345.05 Mn |
| Mar 31, 2026 | 242.65 Mn |
| Dec 31, 2025 | 246.25 Mn |
| Sep 30, 2025 | 249.65 Mn |
| Jun 30, 2025 | 253.87 Mn |
| Mar 31, 2025 | 244.95 Mn |
| Dec 31, 2024 | 100.79 Mn |
| Sep 30, 2024 | 90.06 Mn |
| Jun 30, 2024 | 87.13 Mn |
| Mar 31, 2024 | 77.48 Mn |
| Dec 31, 2023 | 78.42 Mn |
| Sep 30, 2023 | 86.44 Mn |
| Jun 30, 2023 | 96.90 Mn |
| Mar 31, 2023 | 105.08 Mn |
| Dec 31, 2022 | 165.96 Mn |
| Sep 30, 2022 | 256.94 Mn |
| Jun 30, 2022 | 265.38 Mn |
| Mar 31, 2022 | 270.75 Mn |
| Dec 31, 2021 | 276.78 Mn |
| Sep 30, 2021 | 280.75 Mn |
API Access
GH Research Cash & Equivalents 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=cash-and-equivalents&ticker=GHRS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "GHRS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=GHRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();