Valneva SE (VALN) Return on Sales [ROS] (2021 - 2026)
Valneva SE (VALN) recorded Return on Sales [ROS] of -74.95% in Q2 2026, down 52.46 percentage points from -22.49% a year earlier but up 1.72 percentage points from the prior quarter.
Valneva SE (VALN) Return on Sales [ROS] (2021 - 2026) Analysis & Trends
On a TTM basis, Valneva SE's Return on Sales [ROS] came in at -80.55% as of Jun 30, 2026, down 54.98 percentage points year-over-year; for FY2025, it was -46.97%, down 54.83 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +2.99 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 7.86% in FY2024 (+61.26 pp), -53.40% in FY2023 (-22.00 pp), -31.40% in FY2022 (-13.76 pp) and -17.64% in FY2021 (+32.33 pp).
- Quarterly Return on Sales [ROS] has ranged from -677.70% in Q3 2021 to 208.25% in Q1 2024 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has declined for four consecutive quarters, with an average year-over-year change of -46.31 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 737.25 percentage points in Q3 2022, against a drop of 220.36 percentage points in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -76.68% (Q1 2026), -58.94% (Q4 2025) and -126.08% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Valneva SE | 498.06 Mn | -61.83 Mn | 1.86 Mn | -74.95% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -74.95% |
| Mar 31, 2026 | -76.68% |
| Dec 31, 2025 | -58.94% |
| Sep 30, 2025 | -126.08% |
| Jun 30, 2025 | -22.49% |
| Mar 31, 2025 | -12.11% |
| Dec 31, 2024 | -39.40% |
| Sep 30, 2024 | -27.19% |
| Jun 30, 2024 | -56.61% |
| Mar 31, 2024 | 208.25% |
| Dec 31, 2023 | -59.45% |
| Sep 30, 2023 | -58.35% |
| Jun 30, 2023 | -45.71% |
| Mar 31, 2023 | -49.46% |
| Dec 31, 2022 | -50.58% |
| Sep 30, 2022 | 59.56% |
| Jun 30, 2022 | -184.92% |
| Mar 31, 2022 | -84.32% |
| Dec 31, 2021 | 63.33% |
| Sep 30, 2021 | -677.70% |
Valneva SE Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=VALN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=VALN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();