The launch of the revamped version of the Africa Debt Monitor (ADM) in February 2026 marked a significant milestone in the continent’s collective effort to strengthen debt transparency and peer-learning. Building on the foundation of the survey that was kick-started in 2024, the 2026 ADM version, introduced two flagship analytical reports: one examining legal and institutional arrangements for debt and cash management, and another addressing debt data quality (DDQ) as well as the performance of debt recording systems. Together, these reports provide a comprehensive picture of both progress and persistent challenges in African debt management.
On the institutional front, many countries have modernised their frameworks through standalone debt laws or by embedding debt provisions in public financial management statutes. Legislatures play a dual role in authorising borrowing and providing oversight, but parliamentary follow‑up on audit findings remains inconsistent. Debt Management Offices (DMOs) are now established in all surveyed countries, yet high vacancy rates and staff turnover weaken their effectiveness. While most DMOs have structured front, middle, and back offices, fragmentation persists where mandates are unclear, notably in Uganda and Somalia. These institutional gaps highlight the importance of legal clarity and adequate resourcing to ensure that reforms translate into sustained improvements.
Debt strategies are widely adopted across the continent, typically formulated as medium-term frameworks and updated annually. However, actual adherence to these strategies varies considerably depending on market conditions. Primary dealer frameworks exist in eleven of the surveyed countries-namely, the Central African Republic, Côte d’Ivoire, Lesotho, Mauritius, Nigeria, the Republic of Congo, Seychelles, Somalia, The Gambia, Uganda, and Zambia, supporting domestic market development, though eligibility criteria and supervisory arrangements differ significantly across jurisdictions.
Investor relations programmes remain limited in scope, despite their critical importance for enhancing transparency and supporting credit ratings. While cash management units and Treasury Single Accounts are commonly established, the accuracy of fiscal forecasting remains mixed. Debt recording systems, such as the Debt Management and Financial Analysis System (DMFAS) and Meridian, have contributed to improved transparency. Multilateral platforms like these dominate the landscape, owing to their affordability and alignment with international standards, yet persistent integration gaps continue to undermine their full effectiveness.
Audit institutions play a vital oversight role, with most countries publishing audit reports on a regular basis. Nevertheless, the follow-up on corrective actions remains inconsistent. Taken together, these findings highlight the uneven pace and depth of reform implementation across the continent.
The second flagship report focuses on debt data quality, the inconsistencies between reported figures, reliance on unofficial sources, difficulties in instrument classification, and weak institutional frameworks undermine reliability. Debt recording and management systems (DRMS) serve as the backbone of reliable debt statistics, but their mere existence does not guarantee quality. In‑house systems offer customisation but demand technical expertise; commercial products provide integration but have limited uptake. Common challenges include design misalignment, data input errors, weak reconciliation, documentation gaps, and vendor dependence risks. These weaknesses highlight the need to strengthen the entire debt data value chain—from collection and processing to validation, reconciliation, reporting, and dissemination.
Drawing on the IMF’s Data Quality Assessment Framework (DQAF), the report emphasises that (Debt Data Quality) DDQ should be assessed across relevance, comprehensiveness, accuracy, and timeliness. Implementation requires balanced assessment teams from front, middle, and back offices, baseline benchmarks to measure progress, and tiered reviews combining full assessments with targeted interim checks. Clear communication is essential, emphasising collective improvement rather than individual performance evaluation. Senior management must reinforce ownership, while transparent sharing of results and feedback loops foster accountability. Sustained progress depends on systematic follow‑through, prioritisation, and embedding data quality into DMO corporate culture.
Artificial Intelligence (AI) offers significant opportunities to enhance DDQ through automated validation, predictive analytics, real‑time monitoring, and systematic feedback loops. Properly integrated, these tools can substantially improve operational efficiency and strengthen reliability. Yet safeguards are needed to avoid over‑reliance and new vulnerabilities. Responsibility for DDQ is shared across DMOs, creditors, DRMS providers, and technical assistance institutions, making stakeholder engagement central. A practical roadmap includes institutionalising data quality processes, strengthening DRMS, investing in capacity development, fostering feedback mechanisms, and adopting customised DQAF frameworks grounded in local realities.
Beyond data quality, the ADM survey underscores several broader fiscal risks. Contingent liabilities—arising from guarantees, Public–Private Partnership commitments, or implicit obligations such as disaster relief, pose significant challenges. Although nearly all countries have legal frameworks in place to manage these liabilities, capacity for data collection and risk assessment remains weak. Strengthening legal clarity, improving reporting standards, and enhancing institutional capacity are therefore essential to mitigating these risks.
Similarly, sinking funds-adopted cautiously by five countries (Côte d'Ivoire, The Gambia, Ghana, Nigeria, and Zambia)-help reduce financing risk and promote fiscal discipline. However, they can fragment cash management if funding flows are disrupted. Market access, meanwhile, remains uneven: six countries have never accessed international financial markets
Taken together, the ADM findings reveal a landscape of steady progress but persistent unevenness. Legal and institutional reforms are advancing, debt strategies are widely adopted, and debt recording systems are improving transparency. Yet institutional capacity gaps, weak investor engagement, limited market access, and fragile debt data quality continue to undermine credibility. The central message is clear: reliable debt statistics and strong institutional frameworks are not technical luxuries but strategic necessities. By treating debt data quality as a priority, embedding reforms into legal mandates, and fostering stakeholder ownership, African DMOs can build the transparency and resilience essential for sound fiscal management and sustainable development.
The revamped ADM underscores both achievements and challenges. Progress is visible in modernised frameworks, structured DMOs, and improved debt recording systems. But uneven implementation, weak oversight, and fragile data quality remain obstacles. The path forward requires deliberate, sustained effort: strengthening legal clarity, institutionalising data quality, investing in capacity, and engaging stakeholders. If these priorities are pursued, the ADM can serve not only as a monitoring tool but as a catalyst for reform momentum across the continent-anchoring debt transparency, fiscal discipline, and informed policymaking for years to come.