Valneva SE (VALN) Total Non-Current Liabilities (2020 - 2026)
Valneva SE (VALN) recorded Total Non-Current Liabilities of $236.92 million in Q2 2026, compared with $108,668 a year earlier and up 0.6% from the prior quarter.
Valneva SE (VALN) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Valneva SE reported Total Non-Current Liabilities of $225.21 million, up 3.2% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 16.8% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $218.21 million in FY2024 (+17.3%), $186.09 million in FY2023, -$157.97 million in FY2022 and $328.74 million in FY2021 (+217.6%).
- The Q2 2026 figure is the highest quarterly Total Non-Current Liabilities since Q1 2022.
- On a year-over-year basis, Total Non-Current Liabilities rose in four of the last seven quarters, with an average decline of 7.4%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 194.0% in Q4 2021, against a decline of 99.9% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $235.43 million (Q1 2026), $232.03 million (Q4 2025) and $172.17 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Valneva SE | 532.77 Mn | -27.13 Mn | 1.86 Mn | 236.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 236.92 Mn |
| Mar 31, 2026 | 235.43 Mn |
| Dec 31, 2025 | 232.03 Mn |
| Sep 30, 2025 | 172.17 Mn |
| Jun 30, 2025 | 108,668.13 |
| Mar 31, 2025 | 211.21 Mn |
| Dec 31, 2024 | 218.21 Mn |
| Sep 30, 2024 | 208.65 Mn |
| Jun 30, 2024 | 213.01 Mn |
| Mar 31, 2024 | 214.57 Mn |
| Dec 31, 2023 | 186.09 Mn |
| Sep 30, 2023 | 157.70 Mn |
| Jun 30, 2023 | -17,422.79 |
| Mar 31, 2023 | 130.90 Mn |
| Dec 31, 2022 | -157.97 Mn |
| Sep 30, 2022 | 160.20 Mn |
| Jun 30, 2022 | 208.85 Mn |
| Mar 31, 2022 | 298.60 Mn |
| Dec 31, 2021 | 317.78 Mn |
| Dec 31, 2020 | 108.08 Mn |
Valneva SE 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=VALN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "VALN", "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=VALN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();