Moodys (MCO) Restructuring Costs (2009 - 2026)
Moodys (MCO) recorded Restructuring Costs of $32 million in Q2 2026, up 18.5% from $27 million a year earlier and up 18.5% from the prior quarter.
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Analysis
Moodys (MCO) Restructuring Costs (2009 - 2026) Analysis & Trends
On a TTM basis, Moodys' Restructuring Costs came in at $107 million as of Jun 30, 2026, down 4.5% year-over-year; for FY2025, it was $108 million, up 83.1% from FY2024.
- Annual Restructuring Costs has a five-year compound annual growth rate of 16.7% (FY2020 to FY2025).
- Across earlier years, Restructuring Costs came in at $59 million in FY2024 (-32.2%), $87 million in FY2023 (-23.7%) and $114 million in FY2022.
- The Q2 2026 figure is the highest quarterly Restructuring Costs since Q1 2025.
- On a year-over-year basis, Restructuring Costs rose in four of the last seven quarters, with growth averaging 102.7%.
- Peak year-over-year performance for Restructuring Costs in the last five years was growth of 560.0% in Q1 2025, against a decline of 80.0% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $27 million (Q1 2026), $27 million (Q4 2025) and $21 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | S&P Global | 126.49 Bn | 117.07 Bn | 2.98 Bn |
| 2 | Moodys | 83.74 Bn | 76.03 Bn | 1.67 Bn |
| 3 | Msci | 40.93 Bn | 39.28 Bn | 717.10 Mn |
| 4 | Verisk Analytics | 24.74 Bn | 19.38 Bn | 572.90 Mn |
| 5 | Equifax | 18.74 Bn | 18.01 Bn | 926.40 Mn |
| 6 | TransUnion | 14.06 Bn | 10.88 Bn | - |
| 7 | Factset Research Systems | 10.96 Bn | 9.73 Bn | 310.73 Mn |
| 8 | Morningstar | 7.77 Bn | 5.67 Bn | 423.90 Mn |
| 9 | Mastercard | 544.62 Bn | 504.55 Bn | - |
| 10 | Cme | 105.82 Bn | 93.92 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.00 Mn |
| Mar 31, 2026 | 27.00 Mn |
| Dec 31, 2025 | 27.00 Mn |
| Sep 30, 2025 | 21.00 Mn |
| Jun 30, 2025 | 27.00 Mn |
| Mar 31, 2025 | 33.00 Mn |
| Dec 31, 2024 | 46.00 Mn |
| Sep 30, 2024 | 6.00 Mn |
| Jun 30, 2024 | 2.00 Mn |
| Mar 31, 2024 | 5.00 Mn |
| Dec 31, 2023 | 36.00 Mn |
| Sep 30, 2023 | 27.00 Mn |
| Jun 30, 2023 | 10.00 Mn |
| Mar 31, 2023 | 14.00 Mn |
| Dec 31, 2022 | 82.00 Mn |
| Sep 30, 2022 | 1.00 Mn |
| Jun 30, 2022 | 31.00 Mn |
| Dec 31, 2021 | -2.00 Mn |
| Mar 31, 2021 | 2.00 Mn |
| Dec 31, 2020 | 30.00 Mn |
API Access
Moodys Restructuring Costs API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=restructuring-costs&ticker=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "MCO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=restructuring-costs&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();