High borrowing costs and a worsening financing crisis… risks threatening technology companies

High borrowing costs and worsening financing crisis… risks threatening technology companies
In a financial environment characterized by risinginterest ratesand tightening credit conditions, there are increasing signs of a slowdown in the ability of companies to access financing on concessional terms. These developments extend to the areas of technology, where the financing crisis faces mounting pressures that are reshaping the features of borrowing and investment. In this context, software companies appear to be among the most affected, at a time when financial challenges coincide with profound technical transformations.
Market data indicate that a number of software companies in the United States and Europe have postponed or frozen new borrowing deals, as the cost of borrowing rises and scrutiny from banks and investors increases. Yield spreads on higher-risk loans have also begun to widen, which indicates increased fears that some borrowers will default on their obligations, reflecting a more conservative trend in credit markets.
This comes at a time when the sector is witnessing rapid transformation due to the expansion of artificial intelligence technologies, which require large capital investments and force a re-evaluation of business models and profitability margins, which increases financing pressures on companies that are less able to adapt. These developments place the sector at the heart of a financing crisis whose features are gradually taking shape.
High cost of borrowing and worsening financing crisis
The pressures start from the rising cost of borrowing, as software companies are forced to pay higher interest when obtaining new loans or refinancing their existing debt. Estimates from financial institutions indicate that the rate of corporate default on leveraged loans – which are loans granted to heavily indebted companies with a low credit rating – may rise to between 3% and 5% if market turmoil increases, after expectations were only around 1% to 2%. This rise means that investors are becoming more cautious and re-evaluating the level of risks in this sector.
This transformation is particularly important given that technology companies represent about 17% of the existing leveraged loan market, with a value of approximately $260 billion, according to research data in the American market, while the software sector constitutes the largest percentage of these loans. As the cost of financing rises, expansion and acquisition decisions become more complex, which deepens the features of the financing crisis in the sector. However, the cost of borrowing represents only part of the picture, as this is accompanied by a noticeable tightening of lending conditions.

Lenders tighten and more stringent requirements
Software companies face tougher scrutiny from banks that market loans to investors, amid demands for higher returns and deeper discounts on existing debt. It is also expected that future deals will include more stringent legal conditions, including the requirement to maintain specific debt-to-profit ratios, which are known as financial maintenance covenants.
This tightening has led to the withdrawal or postponement of a number of deals planned since the beginning of the year, pending improvement in trading levels in thesecondary market. Even companies with higher-quality debt preferred to wait, reflecting the broadening scope of thefinancing crisisto different categories of borrowers. As borrowing conditions have tightened, deeper structural challenges have emerged regarding the future of business models within the sector.
Artificial Intelligence and Business Model Pressures
Financial tightening coincides with a profound technological transformation led by artificial intelligence applications, which are reshaping the software market at an accelerating pace. Traditional models based on subscriptions and cloud services are now facing a double challenge: on the one hand, the high cost of development and investment in artificial intelligence infrastructure, and on the other hand, the escalation of competition from emerging companies that build their products on more advanced technologies.
Analysts believe that this disruption represents a reformulation of the logic of value within the sector, as the priority shifts from rapidly expanding the number of subscribers to the ability to integrate artificial intelligence tools into core products without eroding profit margins. Investors are increasingly sensitive towards companies that have not yet clarified their strategy in this field, with expectations that the full impact of the technical transformation will appear during the years 2026 and 2027. This paves the way for higher risks of default and restructuring in some companies.

Default Risk and Sector Restructuring
Credit rating reports suggest that companies with lower ratings and closer maturities will likely face greater refinancing risks during 2026. Estimates from institutional investors show that about 50% of software company loans carry a credit rating of “B-” or lower, which indicates a higher degree of default risk, especially in an environment characterized by high interest rates and tightening lending conditions
As the pressures continue, some companies may be forced to restructure their liabilities or sell assets to provide liquidity, in a move aimed at containing the financing crisis and reducing the possibility of default. This path does not mean an inevitable contraction of the sector, but it indicates a phase of rearranging priorities, where the focus on cash flows and actual profitability becomes more important than rapid growth supported by debt, which opens the door to rethinking more balanced and sustainable financing models.
Towards more sustainable financing
In light of these developments, the discussion is turning to how to build more sustainable financing models for software companies, based on a balance between innovation and financial discipline. Adapting to technological transformations and improving cost efficiency may represent necessary paths to overcome the currentfinancing crisis. Heavy reliance on debt is no longer an easy option in an environment characterized by high interest rates and stringent lenders, which forces companies to reconsider their capital structures.
This means moving from a growth model driven by easy financing to one more focused on sustainable profitability and strong cash flows. Companies that can demonstrate their ability to achieve stable returns, even in light of rapid technological transformations, will be in a better position to obtain financing on less expensive terms. Enhancing transparency and financial disclosure also contributes to reducing the risk premium imposed by investors during periods of uncertainty.
In addition, the importance of diversifying financing channels is highlighted, whether through bond markets, private capital, or strategic partnerships, in a way that reduces dependence on a single source of liquidity. This diversification gives companies greater flexibility in the face of fluctuations, and limits the impact of tightening lending policy on their operational plans.
In this sense,The financing crisis represents a turning point that reorders priorities towards more disciplined and adaptive models, in line with the requirements of a rapidly changing market.
In conclusion, thefinancing crisis facing software companies reveals a broader reset in the relationship between technology and finance. AI-led transformations are causing markets to reassess risks, price debt, and realign investment priorities. In an environment characterized by tight credit policy and high borrowing costs, the sustainability of growth becomes dependent on the ability of companies to adapt to more disciplined financial rules, away from excessive reliance on financial leverage.

TheThe Earth Guards Foundation believes that what the software sector is witnessing is a test of the maturity of financing models in the digital economy. Innovation is inseparable from financial stability, and any imbalance between them is reflected in job opportunities, investment, and long-term growth. From this standpoint, overcoming thefinancing crisis is linked to achieving a balance that promotes sustainable economic growth (Goal 8), and supports innovation and adaptive digital infrastructure (Goal 9), within an institutional framework that reduces systemic risks and enhances confidence in markets.




