Innate Pharma (IPHA) Total Non-Current Liabilities (2017 - 2026)
Innate Pharma's Total Non-Current Liabilities was $49.26 million in the quarter ended Jun 30, 2026, down 25.4% from $66.07 million a year earlier.
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Analysis
Innate Pharma (IPHA) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
As of Dec 31, 2025, Total Non-Current Liabilities at Innate Pharma came in at $53.98 million, down 28.0% from the prior year.
- Total Non-Current Liabilities has now declined for three consecutive years, with a five-year compound annual growth rate of -14.9% (years ended Dec 2020 to Dec 2025).
- In earlier years, Total Non-Current Liabilities was $74.94 million in the year ended Dec 31, 2024 (-17.2%), $90.49 million in the year ended Dec 31, 2023 (-17.3%), $109.41 million in the year ended Dec 31, 2022 (+19.3%) and $91.71 million in the year ended Dec 31, 2021 (-24.2%).
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Total Non-Current Liabilities since the quarter ended Jun 30, 2020.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was the quarter ended Jun 30, 2023 (growth of 16.7%); the worst was the quarter ended Dec 31, 2021 (a decline of 27.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,209.53 Bn | 1,178.12 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 625.18 Bn | 543.70 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 510.63 Bn | 483.79 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 365.88 Bn | 320.31 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 293.11 Bn | 257.51 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.69 Bn | 235.45 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 237.29 Bn | 192.69 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 194.23 Bn | 168.34 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 171.73 Bn | 118.68 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Innate Pharma | 148.08 Mn | -59.12 Mn | - | 48.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.40 Mn |
| Dec 31, 2025 | 56.12 Mn |
| Jun 30, 2025 | 68.45 Mn |
| Dec 31, 2024 | 72.06 Mn |
| Jun 30, 2024 | 90.46 Mn |
| Dec 31, 2023 | 92.59 Mn |
| Jun 30, 2023 | 112.50 Mn |
| Dec 31, 2022 | 110.67 Mn |
| Jun 30, 2022 | 94.58 Mn |
| Dec 31, 2021 | 90.79 Mn |
| Jun 30, 2021 | 107.16 Mn |
| Dec 31, 2020 | 130.33 Mn |
| Jun 30, 2020 | 48.32 Mn |
| Dec 31, 2019 | 69.59 Mn |
| Dec 31, 2018 | 99.80 Mn |
| Dec 31, 2017 | 113.64 Mn |
API Access
Innate Pharma 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=IPHA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "IPHA", "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=IPHA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();