Report · PACRA · 30 Jan 2026
Issued by the Pakistan Credit Rating Agency Limited, this study evaluates rating stability and default performance across calendar years 2016 to 2025, fulfilling SECP regulatory mandates. The analysis reveals a persistent zero percent entity default rate since 2016 and a mean rating migration from “AA” to “A” as the portfolio expanded, with targeted upgrades concentrated in Energy, Banking, and Infrastructure sectors. By delivering withdrawal-adjusted static pools alongside one-, three-, five-, and ten-year transition matrices, the report quantifies rating migration patterns, upgrade-downgrade frequencies, and time-to-default for both corporate and financial institution issuers.
The Pakistan Credit Rating Agency Limited
Transition & Default Study CY16-CY25
31st January 2026
2
Contents
Section I: Concept of Transition & Default Study
Section II: PACRA’s Transition & Default Trends
Annexures
SECTION I: CONCEPT OF TRANSITION &
DEFAULT STUDY
What is a Transition & Default Study?
A Set of Standardized Tools & Analyses for a Credit Rating Company’s (CRC) ratings’ performance appraisal. Need for a Transition & Default Study
Performance of
PACRA Ratings
Stability
(The frequency and magnitude of rating changes) Transition Analysis Transition Matrices Accuracy (The correlation between ratings and the risk of default) Default Analysis Default Rates Time-toDefault Schematic – A Typical Transition & Default Study 5 Ratings Data (Withdrawal Adjusted) Transition Statistics Static Pools PACRA's Transition and Default Study assesses the accuracy and stability of its entity ratings by analyzing historical rating changes and default rates across one, three, five, and ten-year horizons. This enhances the credibility and transparency of its rating process. Default Statistics
SECTION II: PACRA TRANSITION &
DEFAULT TRENDS
NOTE: PACRA’s ongoing enhancement of the database used to generate the results contained in this study may lead to some differences compared to previous studies.
7
Rating Distribution
Original
Static Pool 93 102 135 193 239 253 280 344 357 354 Withdrawals 7 5 8 10 10 13 11 18 20 12
8
The mean rating for PACRA has shifted from “AA” to “A” category between CY16 and CY25 while the median
rating category during CY25 has largely remained unchanged at “A”.
The decline in the mean rating is attributable to the rating universe having expanded threefold over the decade
and addition of relatively lower rated clients, resulting in a more balanced rating mix. Rating Distribution – Continued 0% 10% 20% 30% 40% 50% 60% AAA AA A BBB BB B Static Pools' Issuer-level Ratings (%) PACRA Ratings' Composition (CY16-CY25) CY16 CY25
Pakistan posted a positive real GDP growth of
~2.68% during FY25 (FY24: ~2.38%) due to an increase in agriculture income and the services sector. In 1QFY26, real GDP grew by ~3.7%, whereas the expected FY26 real GDP growth rate has been revised to 3.75%-4.75%. The headline inflation dropped significantly to ~0.3% in Apr'25; however, it gradually increased to ~5.6% in Dec'25 on a YoY basis. The policy rate reduced by 150 bps during CY25, ending the year at 10.5%.
Meanwhile, Pakistan posted a current account
deficit of $244mln at the end of CY25 (CY24:
$454mln-profit) due to faster growth of imports relative to exports.
The official exchange rate increased slightly to PKR
280.1 per USD at the end of CY25 (Year-end CY24:
PKR 278.6 per USD).
9
Overview of Economy
-2.0%
0.0%
2.0%
4.0%
6.0%
8.0%
10.0%
12.0%
14.0%
(4,000)
-
4,000
8,000
12,000
16,000
20,000
24,000
28,000
Jan'25 Feb'25 Mar'25 Apr'25 May'25 Jun'25 Jul'25 Aug'25 Sep'25 Oct'25 Nov'25 Dec'25 Trend in Key Policy Indicators (CY25) Current Account Balance (USD mln) (LHS) Total Liquid FX Reserves (USD mln) (LHS) Avg National CPI (%) (RHS) MPR (period end) (%) (RHS)
Amid gradual macroeconomic stabilization during CY25, PACRA recorded an entity rating upgrade rate of ~8.5%
(29 total upgrades), while the downgrade rate remained low at ~1.8% (6 total downgrades), indicating a broadly stable credit environment with limited downside pressure.
During CY25, PACRA undertook one multi-notch upgrade alongside three multi-notch downgrades, reflecting
selective stress in weaker credits. Additionally, 28 single-notch upgrades were recorded against only four singlenotch downgrades. 10 Impact on PACRA Ratings 3 2 1 0 1 2 3 4 5 6 7 8 CY16 CY17 CY18 CY19 CY20 CY21 CY22 CY23 CY24 CY25 Multinotch Rating Activity (Nos.) Annual Multi-notch Rating Activity (CY16-CY25) Upgrades (Nos.) Downgrades (Nos.) 15 10 5 0 5 10 15 20 25 30 35 40 CY16 CY17 CY18 CY19 CY20 CY21 CY22 CY23 CY24 CY25 Singlenotch Rating Activity (Nos.) Annual Single-notch Rating Activity (CY16-CY25) Upgrades (Nos.) Downgrades (Nos.)
Within multi-notch rating movements, one entity experienced a two-notch upgrade, while two entities were
downgraded by two notches. Additionally, one entity was downgraded by a cumulative five notches.
Out of the 29 total upgrades, the sectors that witnessed the highest number of upgrades were Energy, Banks,
Infrastructure, Consumer Goods & Services.
PACRA upgraded 6 entities in the Energy cluster in CY25, particularly within the Oil Marketing Companies sector.
This was primarily driven by a recovery in volumetric demand and stable exchange rate conditions, which improved earnings visibility and strengthened credit profiles.
All 5 upgrades in the Banking sector were concentrated within the microfinance segment, with the upgrades
driven by improving operating performance, capitalization, and asset quality, supported by a more stable macro environment.
Both Infrastructure and Consumer Goods & Services sectors witnessed 3 upgrades respectively, with no
particular trend in their sub-segments.
Unlike the upgrade trends, downgrades did not exhibit any clear sector-wise concentration. The sample size for
downgrades remained limited, with only six downgrades recorded within the withdrawal-adjusted static pool. 11 Impact on PACRA Ratings – Continued Sector Energy Banks Infrastructure Consumer Goods & Services Others Number of Upgrades 6 5 3 3 12
12
Annual Rating Activity Trend
CY25 Transition Matrix
13
CY25 Transition Matrix - Corporates
13
CY25 Transition Matrix – Financial Institutions 13
One-year Average Transition Matrix
13
Three-year Average Transition Matrix
13
Transition
Period
(3-Year)
Average Annual Transition (CY16-CY25)
AAA AA+ AA AA- A+ A A- BBB+ BBB BBB- BB+ BB BB- B+ B B- CCC-C D WithdrawalAdjusted Static Pool Data Counts Beginning of Year (Average CY16-CY25) AAA 100.0% 7.75 62.00 AA+ 10.1% 87.3% 2.5% 9.88 79.00 AA 11.4% 88.6% 18.63 149.00 AA- 1.5% 24.6% 73.1% 0.7% 16.75 134.00 A+ 1.5% 18.2% 73.7% 6.6% 17.13 137.00 A 0.5% 5.4% 29.3% 59.0% 3.4% 1.0% 0.5% 1.0% 25.63 205.00 A- 2.0% 0.6% 19.9% 73.4% 2.0% 1.5% 0.3% 0.3% 42.75 342.00 BBB+ 47.4% 45.4% 4.1% 2.1% 1.0% 12.13 97.00 BBB 8.2% 34.0% 52.6% 3.1% 2.1% 12.13 97.00 BBB- 1.5% 7.7% 4.6% 46.2% 40.0% 8.13 65.00 BB+ 23.3% 60.0% 16.7% 3.75 30.00 BB 20.0% 20.0% 10.0% 20.0% 20.0% 10.0% 1.25 10.00 BB- 100.0% 0.0% 0.13 1.00 B+ 0.0% 50.0% 50.0% 0.25 2.00 B 0.0% 100.0% 0.13 1.00 B- - 0.00 0.00 CCC-C - 0.00 0.00
Five-year Average Transition Matrix
13
Ten-year Average Transition Matrix
13
Transition Rates – Financial Institutions vs. Corporates 20 Financial Institutions Upgrade Rate (%) 13.2% 7.9% 9.8% - 2.4% 4.3% 8.0% 2.0% 9.1% 10.0% Downgrade Rate (%) 5.3% 2.6% 2.4% 7.3% - 2.1% 4.0% 8.0% 3.6% 5.0% Maintain Rate (%) 81.6% 89.5% 87.8% 92.7% 97.6% 93.6% 88.0% 90.0% 87.3% 85.0% Default Rate (%) - - - - - - - - - -
21 NOTE: "-" notation appears in one of two situations: (i) if the CDR for a rating grade happens to be exactly zero, or, (ii) if there is absence of data to have undergone maturity or "seasoning" for the purpose of CDR calculation. PACRA Average Cumulative Default Rates (CDRs) - CY16-CY25 1-Year 2-Year 3-Year 4-Year 5-Year 6-Year 7-Year 8-Year 9-Year 10-Year AAA 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% AA+ 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% AA 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% AA- 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% AA 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% A+ 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% A 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% A- 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% A 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% BBB+ 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% BBB 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% BBB- 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% - BBB 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% BB+ 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% - - BB 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% - - BB- 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% - - - BB 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% - - B+ 0.0% 0.0% 0.0% 0.0% 0.0% - - - - - B 0.0% 0.0% 0.0% - - - - - - - B- 0.0% - - - - - - - - - B 0.0% 0.0% 0.0% 0.0% 0.0% - - - - - CCC – C - - - - - - - - - - Investment Grade (AAABBB) 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%
Default Trends – Time to Default (since inception) 22
ANNEXURES
24
Glossary
Key Terms Definition / Explanation
Static Pool Groupings of data that stay together in the group for the entire length and breadth of the measurement period of the pool. Upgrade Rate The rate of upward rating transition (Ceiling: Triple A “AAA”). Downgrade Rate The rate of downward rating transition (Floor: Single C “C”). Default Rate Proportion of entities / issuers that have been assigned a Default “D” rating (As per PACRA Default Policy “How PACRA Recognizes Default”) to the total number of entities / issuers over the measurement period. Transition Rate Statistics quantifying the transition of ratings on the rating scale between a certain time period. Time-to-Default A term denoting how far a rating lies from the time of its default.
Study Inputs
30
Long-term entity / issuer public ratings
Adjustments DATA SET
Including:
Static Pools
31
Measurement period
A rating put in default & subsequently withdrawn is reported as “D” (Default) only An initial rating of CY22 will form part of the next year (CY22) pool, if not withdrawn Static Pools are adjusted for all withdrawals during a measurement period
Understanding Rating Transition Analysis
32
End of Year ( CY20)
Transition
(Years) : 1 AAA AA+ AA AA- A+ A A- BBB+ BBB BBB- BB+ BB BB- B+ B B- CCC-C D Beginning of Year (CY20) AAA 75.0% 25.0% - - - - - - - - - - - - - - - - AA+ 50.0% 50.0% - - - - - - - - - - - - - - - - AA - - - - - - - - - - - - - - - - - - AA- 30.0% - - 30.0% - - - - - - 40.0% - - - - - - - A+ - - - - - - - - - - - - - - - - - - A - - - - - - - - - - - - - - - - - 100.0% A- - - - - - - - - - - - - - - - - - 100.0% BBB+ - - - - - - - - - - - - - - - - - - BBB - - - - - - - - - - - - - - - - - - BBB- - - - - - - - - - - - - - - - - - - BB+ - - - - - - - - - - - - - - - - - - BB - - - - - - - - - - - - - - - - - - BB- - - - - - - - - - - - - - - - - - - B+ - - - - - - - - - - - - - - - - - - B - - - - - - - - - - - - - - - - - - B- - - - - - - - - - - - - - - - - - - CCC-C - - - - - - - - - - - - - - - - - - Stability of ratings is measured along the diagonal of a transition matrix Transition of ratings is measured on either side of the diagonal of a transition matrix
ADRs and CDRs
III-11-A-(l): A credit rating company shall, - publish annually, within one month of calendar year, a comprehensive default and transition study developed in line with methodologies practiced by credit rating agencies globally. The annual default and transition study must contain cumulative default rates (CDRs) and transitions for each rating grade for periods 1, 3 and 5 years. Annexure H: Other information to be disseminated on the website of a credit rating company/agency 3: Detail of transitions/changes in the credit ratings reviewed during the last five years. The detail should contain the ratings upgraded, downgraded and those remained unchanged. For ease of comparison both the rating i.e. before and after the review and the number of notches upgraded or downgraded should be disclosed. 6: Definition of the term, “default”. 7: Entity-wise list of defaults for all the outstanding issues and for all the issues redeemed during the last five years. 8:Rating scale-wise list of default for all the outstanding issues and for all the issues redeemed during the last five years separately for structured instruments and non-structured instruments. https://www.secp.gov.pk/document/credit-rating-companiesregulation-2016/?wpdmdl=16929 29 Regulatory Framework > SECP SECP | Credit Rating Companies Regulations, 2016 | August 05, 2016 (As Amended September 19, 2022)
a) Objectivity of the methodology: ECAI should have methodology of assigning credit rating that is rigorous, systematic, continuous and subject to validation. To establish that ECAI fulfills this primary component of eligibility criteria, it must demonstrate that it meets minimum standards given below:
5. ECAI should demonstrate that the rating methodologies are subject to quantitative back testing. For this
purpose, ECAI should calculate and publish default studies, recovery studies and transition matrices. For the purpose, the ECAI should have a definition of default that is equivalent to international standard and is relevant to domestic market. d) Disclosure: ECAI should demonstrate that it provide access to information that are sufficient to enable its stakeholders to make decision about the appropriateness of risk assessments. The purpose of this disclosure requirement is to promote transparency and bring in market discipline. ECAI is therefore expected to make public following information:
2. Definition of default
6. Actual default rates experienced in each assessment category
7. Transition matrices
http://www.sbp.org.pk/bsd/Criteria_Rating_Agencies.pdf 30 Regulatory Framework > SBP SBP | Eligibility Criteria for recognition of External Credit Assessment Institutions (ECAIs), July 2005
ACRAA Explanation of Clause 3.8 -
3.18: To promote transparency and to enable investors and other users of credit ratings to compare the performance of different CRAs, a CRA should disclose sufficient information about the historical transition and default rates of its credit rating categories with respect to the classes of entities and obligations it rates. This information should include verifiable, quantifiable historical information, organized over a period of time, and, where possible, standardized in such a way to assist investors and other users of credit ratings in comparing different CRAs. If the nature of the rated entity or obligation or other circumstances make such historical transition or default rates inappropriate, statistically invalid, or otherwise likely to mislead investors or other users of credit ratings, the CRA should disclose why this is the case. https://www.iosco.org/library/pubdocs/pdf/IOSCOPD482.pdf 32 Best Practices Guidelines > IOSCO IOSCO CODE OF CONDUCT FUNDAMENTALS FOR CREDIT RATING AGENCIES - REVISED MARCH 2015
Head Office
FB1 Awami Complex, Usman Block, New Garden Town, Lahore Phone +92 42 3586 9504 – 6 Karachi Office 169/1, Street No-21 Khayaban-e-Qasim, DHA Phase-8, DHA, Karachi Phone +92 346 2578624 The Pakistan Credit Rating Agency Limited DISCLAIMER Each transition and default study issued by PACRA is self-contained. This is so as PACRA’s continuing data enhancement efforts may result in slightly different statistics than in previously published studies and statistics. In addition, comparisons with earlier studies should be viewed within the context of the differing methodologies and definitions, employed therein. PACRA has used due care in preparation of this document. Our information has been obtained from sources we consider to be reliable but its accuracy or completeness is not guaranteed. The information in this document may be copied or otherwise reproduced, in whole or in part, provided the source is duly acknowledged. The presentation should not be relied upon as professional advice. Report Prepared by:
Muhammad Hamza Tahir | Criteria Analyst | Solutions | hamza.tahir@parca.com Muhammad Danish Nadeem | Senior Criteria Analyst | Solutions | danish.nadeem@parca.com Momin Farooque | Supervising Senior – Criteria | Solutions | momin.farooque@parca.com
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The documents this one cites, and the documents that cite it.
“Regulatory Requirement: “A credit rating company shall.- publish annually... Credit Rating Companies Regulations, 2016 Chapter III, Section 11-A-(l)””
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