Donnelley Financial Solutions (DFIN) Restructuring Costs (2015 - 2026)
Donnelley Financial Solutions (DFIN) posted Restructuring Costs of $2.3 million for Q2 2026, up 130.0% from $1 million a year earlier and up 228.6% from the prior quarter.
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Analysis
Donnelley Financial Solutions (DFIN) Restructuring Costs (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Restructuring Costs at Donnelley Financial Solutions was $9.5 million, up 28.4% year-over-year; for FY2025, it came in at $10.4 million, up 57.6% from FY2024.
- Annual Restructuring Costs shows a five-year compound annual growth rate of -33.4% (FY2020 to FY2025).
- In prior years, Donnelley Financial Solutions' Restructuring Costs was $6.6 million in FY2024 (-32.7%), $9.8 million in FY2023 (+27.3%), $7.7 million in FY2022 (-43.4%) and $13.6 million in FY2021 (-82.8%).
- Quarterly Restructuring Costs has run from a low of -$2.3 million in Q2 2023 to a high of $10.9 million in Q1 2023 over five years.
- On a year-over-year basis, Restructuring Costs increased in four of the last seven quarters, with growth averaging 39.0%.
- The strongest year-over-year quarter for Restructuring Costs in the past five years was Q1 2023, with growth of 505.6%; the weakest was Q2 2022, with a decline of 92.9%.
- According to Business Quant data, Restructuring Costs for the three prior quarters was $700,000 (Q1 2026), $5.6 million (Q4 2025) and $900,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn |
| 10 | Donnelley Financial Solutions | 1.18 Bn | 1.08 Bn | 148.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.30 Mn |
| Mar 31, 2026 | 700,000.00 |
| Dec 31, 2025 | 5.60 Mn |
| Sep 30, 2025 | 900,000.00 |
| Jun 30, 2025 | 1.00 Mn |
| Mar 31, 2025 | 2.90 Mn |
| Dec 31, 2024 | 2.10 Mn |
| Sep 30, 2024 | 1.40 Mn |
| Jun 30, 2024 | 1.30 Mn |
| Mar 31, 2024 | 1.80 Mn |
| Dec 31, 2023 | 1.40 Mn |
| Sep 30, 2023 | -600,000.00 |
| Jun 30, 2023 | -2.30 Mn |
| Mar 31, 2023 | 10.90 Mn |
| Dec 31, 2022 | 3.10 Mn |
| Sep 30, 2022 | 2.60 Mn |
| Jun 30, 2022 | 200,000.00 |
| Mar 31, 2022 | 1.80 Mn |
| Dec 31, 2021 | 6.70 Mn |
| Sep 30, 2021 | 3.30 Mn |
API Access
Donnelley Financial Solutions 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=DFIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "DFIN", "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=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();