SFC Energy AG publishes nine-month report - strong final quarter expected, underpinned by high order intake in Q3/2025 and greater proportion of defense business
- Bias Rating
- Reliability
45% ReliableAverage
- Policy Leaning
-70% Medium Left
- Politician Portrayal
N/A
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Bias Score Analysis
The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
Sentiments
37% Positive
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
69% : The company's products are engineered to provide energy-efficient solutions, delivering optimized total cost of ownership (TCO) across its two strategic business segments as: Clean Energy and Clean Power Management.62% : To register, please use the following link: Registration for Deutsches Eigenkapitalforum 2025 About SFC Energy AG SFC Energy AG is an international technology leader, providing reliable energy for critical infrastructure and applications beyond the grid.
60% : Segment performance In the first nine months of 2025, the Clean Energy segment generated sales of EUR 71,539 thousand (9M/2024:
57% : Accordingly, the share in Group sales attributable to the Clean Power Management segment stood at 30.3% (9M/2024: 30.2%).
52% : Segment sales declined by 2.0% to EUR 31,170 thousand in the nine-month period, down from EUR 31,805 thousand in the previous year, as business in the upstream oil and gas industry was lower.
47% : In the Clean Energy segment, the gross profit margin came to 45.1% (9M/2024: 48.2%), widening to 29.7% in the Clean Power Management segment (9M/2024: 26.9%).
*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.
