RedHill Biopharma (RDHL) Non-cash Items (2017 - 2022)
RedHill Biopharma's Non-cash Items came in at -$7.25 million for the year ended Dec 31, 2025, compared with -$3.15 million a year earlier.
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Analysis
RedHill Biopharma (RDHL) Non-cash Items (2017 - 2022) Analysis & Trends
Going back to the year ended Dec 31, 2015, RedHill Biopharma's Non-cash Items data covers 11 years.
- The five-year range for annual Non-cash Items is -$44.12 million (the year ended Dec 31, 2023) to $34.48 million (the year ended Dec 31, 2022).
- Per Business Quant, earlier years put Non-cash Items at -$3.15 million in the year ended Dec 31, 2024, -$44.12 million in the year ended Dec 31, 2023, $34.48 million in the year ended Dec 31, 2022 (+1.8%) and $33.85 million in the year ended Dec 31, 2021 (+76.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn |
| 10 | RedHill Biopharma | 7.09 Mn | 7.09 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 510,000.00 |
| Jun 30, 2021 | 8.80 Mn |
| Jun 30, 2020 | 4.28 Mn |
| Jun 30, 2019 | -224,000.00 |
| Jun 30, 2018 | 2.48 Mn |
| Jun 30, 2017 | -1.67 Mn |
API Access
RedHill Biopharma Non-cash Items 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=non-cash-items&ticker=RDHL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-cash-items", "ticker": "RDHL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-cash-items&ticker=RDHL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();