25,900 German Firms Face Collapse: Before 2028

Allianz Trade forecasts 25,900 corporate insolvencies in Germany for 2026 and 2027, an 8% increase from 2025 and the highest level since 2013, following a consistent rise recorded by the Statistical Federal Office, which registered 24,064 cases in the prior year, 21,812 the year before, and 17,814 two years ago. So far in 2026, 12,812 cases were registered in the first half of the year, 6.7% more than in the same period of the previous year. The sustained pressure stems from a weak economy, skilled labor shortages, high operating costs, and geopolitical factors including energy market disruption and a simmering Iran war, as cited by the chief economist. Particular sectors under cost pressure include transport and logistics, construction, the hospitality industry, and the automotive and mechanical engineering industry, with well-known companies such as the department store chain Galeria, discounter Kodi, and battery manufacturer Varta having recently faced insolvency.

Globally, Allianz Trade projects a +5% rise in business insolvencies in 2026 and a +1% increase in 2027, marking five consecutive years of increases and bringing the total directly at-risk jobs to roughly 2.7 million in 2026 and 2027, an increase of 180,000 compared with 2025 and 700,000 compared with 2023. Europe accounts for approximately 1.6 million of those at-risk jobs, with France, Germany, and the United Kingdom leading; North America represents about 650,000, a 13-year high for both regions; and Asia accounts for about 305,000. In the Asia-Pacific region, insolvencies are expected to rise by +3% in 2026 and +2% in 2027 before stabilizing in 2028, with China projected to increase by +1% in 2026 and +2% in 2027, Japan by +6% in 2026 and +2% in 2027 reaching the highest level since 2012, Australia reaching a record of approximately 11,850 cases in 2026 (+1%) before declining by -4% in 2027, New Zealand with a +6% rise in 2026 followed by a -9% decline in 2027, South Korea projected to reach a record of approximately 2,560 cases in 2026 (+12%) before stabilizing at +1% in 2027, Hong Kong seeing insolvencies rise +6% in 2026 and +4% in 2027 to approximately 710 cases the highest level since 2005, Taiwan with a +36% increase in 2026 and +3% in 2027, and Singapore projected to see a -23% decline in 2026 followed by a +3% increase in 2027.

The report attributes the continued pressure to underperforming GDP growth, higher for longer interest rates, and elevated energy costs, noting that 60% of countries will maintain higher policy rates in 2027 than in the prior 12 to 24 months, inflating funding costs and squeezing margins; in Western Europe, a 100bp rise in bank lending rates would add between EUR 6bn and EUR 10bn in interest expenses, reducing margins particularly in renewables, telecom, and power. Higher for longer energy costs are also intensifying pressure on profitability, especially for energy-intensive European industries.

Regarding technology, Allianz Trade conducted an analysis across eight EU economies and nine sectors which found no overall correlation between AI adoption and insolvency trends, but identified an exception in smaller and less diversified markets where AI adoption can accelerate business insolvencies due to the competitive wedge it creates between early adopters and laggards; in Belgium and Sweden, which have the highest AI adoption rate in the analysis at 35%, the most digitized sectors are also recording the highest insolvency numbers. From a sector perspective, the information and communication sector, the most AI-intensive sector in the sample with 70% adoption, shows higher insolvency figures than the national average in five of the eight countries surveyed.

For 2028, the credit insurer predicts a decline of five percent to 24,600 cases in Germany, while other projections suggest a slight retreat of 1% from very high levels; the figure will remain historically high and will not represent a return to pre-crisis normality. Until then, a high number of insolvencies can endanger jobs, disrupt supply chains, and burden municipalities through lower trade tax revenues, while insolvency proceedings may secure economically viable parts of companies if restructurings begin early.

The statements contained in the report may include prospects and forward-looking statements based on management's current views and assumptions and involve known and unknown risks and uncertainties; actual results performance or events may differ materially from those expressed or implied. Readers are encouraged to approach the outlook with careful research risk awareness and rational decision making and to avoid interpreting any single forecast as a guaranteed outcome. As with any financial outlook, stakeholders should be wary of overinterpretation, conduct independent research, maintain risk awareness, and exercise rational decision-making rather than viewing the projections as guaranteed opportunities.

Separately, Allianz Trade analysts highlight differing views on the stock's path, with Berenberg reaffirming a buy rating and a price target of 684 euros arguing that concerns about AI assistants displacing the insurer's distribution force are premature and that Allianz can reach the upper end of its profit target range despite heavier natural catastrophe losses, while JPMorgan takes a more cautious stance, restating a neutral rating and a 460 euro target while trimming its operating profit estimate. On the business development side, Allianz Partners extends its strategic partnership with the TUI Group for a further four years, and Allianz Versicherungs-AG replaces HDI as the insurance partner for Mercedes-Benz Bank in Germany, taking on the risk carrier role and embedding its cover into the vehicle purchase process; neither deal can yet be translated into a specific earnings contribution. Allianz also reports a brand value of 30.7 billion US dollars, placing 26th in the Interbrand ranking and marking a 9% increase, though this valuation measures brand strength separately from premiums or profit.

Original Sources: ad-hoc-news.de, marketscreener.com, ad-hoc-news.de, globalbankingandfinance.com, news.europawire.eu, openpr.com, eurodebt.eu, businessday.co.za

Category: Economics

Keywords: allianz, automotive, battery, construction, credit, economist, economy, engineering, galeria, germany, hospitality, insolvencies, iran, kodi, labor, logistics, mechanical, restructurings, supply, tax, trade, transport, varta

Actionable information: The article reports forecasts and statistics but provides no clear steps, choices, instructions, or tools that a reader can use soon. It describes market trends and company-specific events without offering any actionable path for an ordinary person. Therefore it offers no action to take.

Educational depth: The piece sticks to surface-level numbers and sector names. It mentions reasons like labor shortages and economic weakness but does not explain how insolvency risk translates to personal impact, how the statistics are constructed, or why the numbers matter for understanding broader economic health. The information remains superficial and unexplained, so it does not teach enough to deepen understanding.

Personal relevance: The content affects only readers with direct exposure to German corporate sectors, employment in those industries, or interest in macroeconomic trends. For a normal reader it has limited meaningful connection to safety, money, health decisions or daily responsibilities. The relevance is limited to distant events in economic reporting not personal health or financial action.

Public service function: There are no warnings, safety guidance, or emergency information. The article exists as a market forecast without any element that helps the public act responsibly; it appears to serve economic dissemination rather than public good.

Practical advice: No steps or tips are given that an ordinary reader could realistically follow. The guidance is absent making the article unhelpful for anyone seeking usable advice on how to protect their job, finances, or business resilience.

Long term impact: The story is confined to a single forecaster's projections and does not help a person plan ahead, improve habits, or avoid future problems. It offers no lasting benefit or way to prepare for similar situations focusing only on short-lived research reports.

Emotional and psychological impact: The article may generate interest or concern about economic stability but it does not offer clarity, calm or constructive thinking. Without context or guidance readers could walk away with unnecessary worry about job security or supply chains and there is no path to respond productively.

Clickbait or ad-driven language: The writing follows conventional science/economic reporting patterns. It does not rely on exaggerated dramatic or repeated claims that add no substance nor does it overpromise beyond the forecast's scope however the lack of practical context still limits its value.

Missed chances to teach or guide: The article presents a statistical trend in corporate failures but fails to provide a framework for readers to evaluate risk, examples of how to discuss findings with employers or financial advisors, or any path for the reader to learn more about personal financial resilience. This is a missed opportunity to turn economic data into usable knowledge.

When economic forecasts like this appear it is natural to notice the numbers but the most useful response is to ground your thinking in what you can control. Start by assessing how your own job or business might connect to the broader trends mentioned such as sector-specific cost pressures or supply chain shifts. Keep a simple record of your income expenses and any changes in your work situation so you can spot patterns early. Build a basic financial cushion if possible even a small emergency fund can reduce vulnerability to unexpected disruptions. Think about developing versatile skills or credentials that remain valuable across different industries which can help maintain employability if a particular sector slows. Stay informed through a few reliable sources rather than every headline so you can distinguish between short-term fluctuations and sustained shifts. When a trend feels relevant ask yourself whether it changes any immediate decisions you need to make or whether it is mainly background information. Pair any economic concern with concrete personal habits such as reviewing insurance coverage keeping important documents organized and maintaining open communication with employers or financial advisors about your specific situation. These practices require no special tools only attention and common sense and they empower you to turn distant forecasts into personal readiness.

The text uses passive voice to describe insolvency data. "So far in 2026, 12,812 cases were registered in the first half of the year" omits who registered the cases. This hides the Statistical Federal Office as the agent performing the registration. The passive construction makes the action appear self-evident rather than conducted by an authority. Readers may not notice the missing source, which shapes how the data's origin is perceived.

Concern enters the text through the description of a consistent rise in company failures, highlighted by the phrase "continuing a multi-year upward trend in company failures" and the increase from 17,814 cases two years ago to 24,064 last year and a forecast of 25,900 for 2026 and 2027. The strength of this emotion is strong, as the climbing numbers signal lasting economic strain, and its purpose is to make the reader recognize the data's real-world importance rather than treat it as abstract reporting. Urgency surfaces in time phrases such as "so far in 2026," "expects an eight percent increase for the full year," and "until then," which emphasize the reader's sense that the situation is immediate and ongoing, steering attention to the present rather than the past. Seriousness arises from the scale of the forecasted insolvencies and the naming of well-known companies like Galeria, Kodi, and Varta facing collapse, which lends gravity to the statistics and prevents the reader from dismissing the report as routine corporate news; this emotion guides the reader to take the economic situation seriously. Caution appears in references to industries under cost pressure and the note that early restructuring can save parts of companies, which softens the overall tone and encourages the reader to think about responsible early action. A mild sense of optimism is introduced in the prediction of a five percent decline in 2028, attributed to government measures taking full effect, which balances the preceding concern and directs the reader’s outlook toward gradual recovery rather than perpetual crisis. Trust is woven through citing the Statistical Federal Office, Allianz Trade, and the chief economist, which lends credibility to the figures and ensures the reader processes the information as reliable, reinforcing the impact of the concern and urgency without triggering skepticism.

The combination of concern and seriousness generates worry about the German economy and the people affected by company failures, directing the reader toward sympathetic engagement with the human impact behind the numbers. Urgency and caution work together to focus the reader on the present moment and the value of early action, making the information feel actionable rather than purely frightening. The mild optimism at the close prevents the narrative from becoming overwhelmingly bleak, encouraging the reader to entertain the possibility of policy-driven improvement and gradual stabilization. As a result, the reader’s response shifts from passive receipt of data to active reflection on economic risk, social consequence, and the potential for resolution through early intervention and government measures.

The writer uses comparing numbers from year to year to show the rise without adding emotional words, letting the figures speak for themselves. Naming familiar company names puts a human face on the data, which can make the reader feel sympathy for the situation. Referencing official sources gives the numbers weight and makes the reader more likely to take the warnings seriously. Phrases that list results such as job losses and supply problems expand the reader's focus beyond company finances to wider community effects. The difference between the rising forecasts for 2026 and 2027 and the expected fall in 2028 sets up a story of challenge followed by improvement, which moves the reader from concern to hopeful caution. Adding "a simmering Iran war" as a reason creates a sense of outside trouble beyond the economy, supporting the point that government action is needed to handle problems the business world cannot solve alone.