OnKure Therapeutics (OKUR) Total Non-Current Liabilities (2020 - 2026)
OnKure Therapeutics (OKUR) reported Total Non-Current Liabilities of $7.23 million for Q2 2026, down 8.0% from $7.86 million a year earlier and down 49.5% from the prior quarter.
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Analysis
OnKure Therapeutics (OKUR) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, OnKure Therapeutics posted Total Non-Current Liabilities of $5.92 million.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -42.9% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $137.57 million in FY2023 (-15.4%), $162.57 million in FY2022 and $6.37 million in FY2021 (-93.5%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $5.92 million in Q4 2025 and a high of $212.7 million in Q3 2024.
- Year over year, Total Non-Current Liabilities gained in 1 of the last five quarters, with an average decline of 48.1%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2022 (growth of 177.2%); the low point was Q3 2025 (a decline of 97.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $14.33 million (Q1 2026), $5.92 million (Q4 2025) and $6.37 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 60.81 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 117.60 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 79.95 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -36.84 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 76.12 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 36.05 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 96.04 Bn |
| 10 | OnKure Therapeutics | 136.90 Mn | -454.00 Mn | - | 9.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.33 Mn |
| Jun 30, 2026 | 7.23 Mn |
| Mar 31, 2026 | 14.33 Mn |
| Dec 31, 2025 | 5.92 Mn |
| Sep 30, 2025 | 6.37 Mn |
| Jun 30, 2025 | 7.86 Mn |
| Mar 31, 2025 | 9.19 Mn |
| Sep 30, 2024 | 212.70 Mn |
| Jun 30, 2024 | 202.29 Mn |
| Mar 31, 2024 | 195.89 Mn |
| Dec 31, 2023 | 137.57 Mn |
| Sep 30, 2023 | 14.38 Mn |
| Jun 30, 2023 | 14.64 Mn |
| Mar 31, 2023 | 11.46 Mn |
| Dec 31, 2022 | 162.57 Mn |
| Sep 30, 2022 | 10.39 Mn |
| Jun 30, 2022 | 9.40 Mn |
| Mar 31, 2022 | 9.04 Mn |
| Dec 31, 2021 | 6.20 Mn |
| Sep 30, 2021 | 6.35 Mn |
API Access
OnKure Therapeutics Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=OKUR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "OKUR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=OKUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();