Sri Lanka’s Sovereign Debt Restructuring

Sri Lanka’s debt restructuring distinguishes itself from others by its complexity due to a particularly diverse creditor landscape and novel instruments issued in the restructuring. Not eligible for the G20 Common Framework for Debt Treatments, Sri Lanka had to navigate the challenges of a diverse creditor landscape, requiring complex coordination across many stakeholders. The majority of official debt was held by non-traditional creditors outside of the Paris Club and domestic borrowing played an important role in Sri Lanka’s overall debt. Commercial creditors were particularly interested in new and complex instruments that would share up- and downsides to the macroeconomic framework and would offer additional debt relief for implementing governance reforms. For the first time, the IMF applied fully the newly developed Sovereign Risk and Debt Sustainability Framework to assess debt sustainability. The restructuring took place against the background of a very deep fiscal and balance of payments crisis that required sweeping policy solutions in the context of a complex IMF-supported reform program. This paper reviews the root causes of Sri Lanka’s debt problem, the deliberation of its solution, and the designs, negotiations, and outcomes of the restructuring processes. Important lessons from Sri Lanka’s experience regarding restructuring strategies and design, as well as the IMF’s role in facilitating debt-creditor engagement, can inform future restructurings.

Authors

Publication Details

Journal
IMF Working Paper
Published
2025-09-01
DOI
https://doi.org/10.5089/9798229024211.001
Primary Topic
State Capitalism and Financial Governance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sri Lanka’s Sovereign Debt Restructuring

Péter Breuer, Mike Li, Sandesh Dhungana
IMF Working Paper
State Capitalism and Financial Governance
article

Sri Lanka’s Sovereign Debt Restructuring

Péter Breuer, Mike Li, Sandesh Dhungana
article en

Abstract

Sri Lanka’s debt restructuring distinguishes itself from others by its complexity due to a particularly diverse creditor landscape and novel instruments issued in the restructuring. Not eligible for the G20 Common Framework for Debt Treatments, Sri Lanka had to navigate the challenges of a diverse creditor landscape, requiring complex coordination across many stakeholders. The majority of official debt was held by non-traditional creditors outside of the Paris Club and domestic borrowing played an important role in Sri Lanka’s overall debt. Commercial creditors were particularly interested in new and complex instruments that would share up- and downsides to the macroeconomic framework and would offer additional debt relief for implementing governance reforms. For the first time, the IMF applied fully the newly developed Sovereign Risk and Debt Sustainability Framework to assess debt sustainability. The restructuring took place against the background of a very deep fiscal and balance of payments crisis that required sweeping policy solutions in the context of a complex IMF-supported reform program. This paper reviews the root causes of Sri Lanka’s debt problem, the deliberation of its solution, and the designs, negotiations, and outcomes of the restructuring processes. Important lessons from Sri Lanka’s experience regarding restructuring strategies and design, as well as the IMF’s role in facilitating debt-creditor engagement, can inform future restructurings.

IMF Working PaperVol. 2025(175)
Openalex Percentile: Top 65%
State Capitalism and Financial Governance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.