Valneva SE (VALN) Total Liabilities (2020 - 2026)
Valneva SE (VALN) recorded Total Liabilities of $357.03 million in Q2 2026, up 10.2% from $323.96 million a year earlier and up 3.3% from the prior quarter.
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Analysis
Valneva SE (VALN) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Valneva SE reported Total Liabilities of $330.66 million, down 2.9% from FY2024.
- Annual Total Liabilities has declined for four straight years, with a five-year compound annual growth rate of -4.9% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $340.65 million in FY2024 (-4.6%), $357.01 million in FY2023 (-12.9%), $409.68 million in FY2022 (-56.8%) and $948.57 million in FY2021 (+123.5%).
- The Q2 2026 figure is the highest quarterly Total Liabilities since Q3 2023.
- On a year-over-year basis, Total Liabilities rose in four of the last eight quarters, with an average decline of 0.4%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 106.9% in Q4 2021, against a decline of 55.3% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $345.74 million (Q1 2026), $340.68 million (Q4 2025) and $348.09 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Valneva SE | 479.73 Mn | -76.82 Mn | 1.86 Mn | 350.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 350.83 Mn |
| Mar 31, 2026 | 338.43 Mn |
| Dec 31, 2025 | 343.81 Mn |
| Sep 30, 2025 | 349.31 Mn |
| Jun 30, 2025 | 335.63 Mn |
| Mar 31, 2025 | 332.28 Mn |
| Dec 31, 2024 | 331.73 Mn |
| Sep 30, 2024 | 334.14 Mn |
| Jun 30, 2024 | 321.57 Mn |
| Mar 31, 2024 | 338.51 Mn |
| Dec 31, 2023 | 367.26 Mn |
| Sep 30, 2023 | 383.44 Mn |
| Jun 30, 2023 | 382.41 Mn |
| Mar 31, 2023 | 420.07 Mn |
| Dec 31, 2022 | 428.08 Mn |
| Sep 30, 2022 | 524.01 Mn |
| Jun 30, 2022 | 660.07 Mn |
| Mar 31, 2022 | 702.42 Mn |
| Dec 31, 2021 | 732.47 Mn |
| Dec 31, 2020 | 457.24 Mn |
API Access
Valneva SE Total 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-liabilities&ticker=VALN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=VALN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();