Moodys (MCO) Restructuring Costs (2009 - 2026)
Moodys (MCO) recorded Restructuring Costs of $27 million in Q3 2026, up 28.6% from $21 million a year earlier but down 15.6% 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 $113 million as of Sep 30, 2026, down 11.0% 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.
- Quarterly Restructuring Costs has ranged from -$2 million in Q4 2021 to $82 million in Q4 2022 over the past five years.
- On a year-over-year basis, Restructuring Costs rose in five of the last seven quarters, with growth averaging 117.9%.
- 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 $32 million (Q2 2026), $27 million (Q1 2026) and $27 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | S&P Global | 135.95 Bn | 125.80 Bn | 2.64 Bn |
| 2 | Moodys | 87.18 Bn | 80.11 Bn | 1.50 Bn |
| 3 | Msci | 46.24 Bn | 44.72 Bn | 739.80 Mn |
| 4 | Verisk Analytics | 26.46 Bn | 21.10 Bn | 572.90 Mn |
| 5 | Equifax | 22.29 Bn | 21.56 Bn | 940.10 Mn |
| 6 | TransUnion | 15.65 Bn | 12.34 Bn | - |
| 7 | Factset Research Systems | 11.79 Bn | 10.64 Bn | 308.40 Mn |
| 8 | Morningstar | 9.04 Bn | 6.93 Bn | 431.40 Mn |
| 9 | Mastercard | 577.18 Bn | 537.27 Bn | - |
| 10 | Cme | 108.04 Bn | 96.37 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 27.00 Mn |
| 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 |
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();