Defaulted Issuers vs IG-to-Junk GOs: A 5.5× Count Gap

Municipal credit has two very different ways of going wrong. One is a hard stop: an issuer misses a scheduled principal or interest payment, or engineers a distressed exchange that Moody’s and S&P treat as a default substitute. The other is a rating clock: a general-obligation (GO) credit that still pays on time slips from investment grade into speculative grade — the market’s shorthand for “IG-to-junk.” Desks often conflate the two. They should not. Over 2015–2025, a desk join of MSRB EMMA material-event patterns with Moody’s and S&P annual public-finance default studies counts about 94 unique issuers in payment default or distressed exchange, against only 17 unique GO / general-government credits that crossed from investment grade to speculative grade. That is roughly 5.5× more distress names than GO junk crossings.

The interactive dashboard above plots those two issuer clocks year by year, by sector pledge, and as a cumulative path. The punchline is not that munis are unsafe. It is that issuer-count risk lives in enterprise and appropriation structures, while GO rating floors rarely break — and when they do, they still outnumber actual GO payment defaults by a wide margin.

Two clocks, one market

Payment default and distressed exchange are event counts. Rating agencies define a default as a missed or delayed debt-service payment, a bankruptcy or receivership that impairs creditors, or a distressed exchange intended to help an obligor avoid a formal miss. MSRB EMMA’s continuing-disclosure regime surfaces many of the same moments as material event notices — especially Rule 15c2-12 payment-related filings — including for names that never carried a rating. Collapsing agency studies and EMMA notices to unique issuers (not CUSIPs, not issues) is the right unit for answering “how many credits actually broke?”

GO IG-to-junk is a transition count. It asks how many unique GO or general-government credits left the investment-grade universe (BBB− / Baa3 and above) for speculative grade. That transition can happen without a missed coupon. It can also reverse. It is a stress signal, not a cash-flow failure. Comparing the two clocks answers a practical desk question: if you screen out every GO that ever fell below IG, how much of the market’s actual distress issuer set have you even touched?

Almost none of it. In the 2015–2025 window, GO pledges are only about 4% of unique distress issuers. Housing, healthcare, and land-secured special districts absorb most of the rest.

What the annual dual track shows

S&P’s long-run rated-default history is the best public anchor: across 1986–2023, about 230 rated issuers defaulted, or roughly six per year on average, with a peak near eighteen in 2017. Moody’s rated-default prints are thinner still in quiet years — a single student-housing name in 2022, for example. Expanding the lens to EMMA material events (rated plus unrated) lifts annual unique-issuer counts without changing the shape: a mid-decade spike, a quieter late-2010s, a 2020 COVID bump concentrated in senior living and related housing, then a return toward mid-single digits.

Against that backdrop, GO IG-to-junk crossings stay in the one-to-three-issuer range most years in our desk series. Even in 2017, when distress unique issuers hit 18, GO junk crossings print at 3. In 2023, the dual track is 9 versus 2. The ratio is noisy year to year — it can print above 8× in a quiet GO year — but the cumulative path settles near 5.5× by 2025. That stability matters more than any single vintage.

Where distress issuers actually sit

Sector composition explains why the GO rating screen is a weak filter for issuer-count risk. Of the 94 unique distress issuers in the window:

Housing alone is larger than GO junk crossings for the entire decade. Housing plus healthcare is 58% of the distress set. That matches what rating-agency sector tables have said for years: competitive enterprises and project-finance structures generate most events, while general governments dominate headlines only when a Puerto Rico–scale credit family fails. For issuer counts in a normal decade, the enterprise stack is the story.

Appropriation and moral-obligation structures sit in an awkward middle. They are not full GO pledges, yet they are often marketed next to tax-backed paper. They contribute about 13% of distress issuers in the window — more than GO payment defaults, fewer than housing. Treating them as “almost GO” in a credit screen is how desks understate issuer-count risk.

Payment default versus distressed exchange

Not every distress issuer misses a coupon in the same way. Splitting the 94 names by event type shows:

• Payment default onlyabout 66 issuers (70%)
• Distressed exchange onlyabout 16 issuers (17%)
• Both in the same multi-year windowabout 12 issuers (13%)

Payment remains the dominant path. Distressed exchanges matter because they are the restructuring language of the market: an obligor that cannot refinance or cure reserves may still avoid a formal miss by swapping into weaker terms. Agencies count those as defaults for study purposes; EMMA may show them as material modifications or related notices. For issuer-count work, collapsing payment and exchange into a single “distress” union is conservative and correct — it avoids double-counting the same obligor while still capturing both failure modes.

Why GO junk crossings stay scarce

GO credits start high on the rating scale. Median municipal ratings remain in the Aa / AA neighborhood in agency studies, far above the corporate median. Crossing the entire investment-grade band into speculative grade requires sustained fiscal erosion, political refusal to raise taxes or cut services, or a legal crisis that severs the tax pledge’s credibility. Most stressed cities and counties get notch downgrades inside IG long before they exit it. State oversight, emergency managers, and access to capital markets further reduce the odds of a clean IG-to-junk print.

That scarcity is why the 17 GO junk crossings in 2015–2025 look large next to GO payment defaults (a handful of unique issuers in the same window) and tiny next to enterprise distress. The rating clock and the default clock are answering different questions. GO junk is an early-warning census for tax-backed credits. Distress issuer counts are a census of where cash actually broke — and cash breaks in housing, healthcare, and land-secured deals first.

Era stability: pre-2020 versus 2020–2025

Splitting the window at the pandemic does not rescue the GO screen. Pre-2020 (2015–2019) prints about 48 distress issuers against 9 GO junk crossings (5.3×). Post-2020 (2020–2025) prints about 46 against 8 (5.8×). COVID raised senior-living and related housing misses in 2020, but it did not produce a wave of GO IG-to-junk transitions. Federal aid, strong property-tax collections in many metros, and rating-agency patience kept most general governments inside IG even when enterprise affiliates struggled.

That era stability is the article’s second punchline. The 5.5× gap is not an artifact of one boom-year in 2017 or one COVID year in 2020. It is a structural feature of how municipal pledges fail.

Caveats and confidence

Several limits apply, and they should be read before anyone treats the 94 and 17 as official census numbers.

Unrated coverage. Agency default studies cover rated universes. EMMA material events catch many unrated misses, especially in conduit housing and special districts, but filing quality varies. Our unique-issuer totals are a desk join, not an MSRB product table.

Issuer versus issue. One hospital system can appear under multiple conduit issuers. We collapse where the obligor is clearly the same; residual double-counts would, if anything, inflate distress relative to GO junk.

GO definition. “GO IG-to-junk” here means general-obligation or general-government credits at Moody’s or S&P. Appropriation debt that was never IG is excluded from the junk-crossing count and counted on the distress side when it fails.

Distressed exchange labeling. Not every tender or modification is a default substitute. We follow agency study conventions where available and treat ambiguous EMMA modifications conservatively.

Par versus count. This piece is deliberately an issuer-count story. Dollar par outstanding in default is a different map — large GO failures can dominate dollars even when they barely move issuer counts. Do not confuse the two.

Confidence is highest on the direction and order of magnitude of the gap (distress issuers multiply GO junk crossings) and on the sector ranking (housing and healthcare first). Absolute annual cells for unrated names are estimated.

What desks should do with the gap

If the mandate is to avoid issuer distress events, a GO-only or IG-GO-only screen is insufficient. It filters a market where GO payment defaults are rare and GO junk crossings are scarce, while leaving the housing and healthcare conduit stack — where most unique distress issuers live — untouched. If the mandate is to monitor tax-backed credit migration, the GO IG-to-junk series is the right clock, and its low absolute level is the news.

The dashboard’s dual track, sector mix, cumulative path, and era ratio panels are built for that split reading. Use the era and pledge controls to stress-test the 5.5× headline: it holds above 5× in both halves of the decade. That is the durable fact for 2026 credit committees — not a claim that munis are fragile, but a claim about where fragility shows up when you count issuers instead of myths about GO floors.