Donnelley Financial Solutions (DFIN) Long-Term Debt Repayments (2016 - 2026)
Donnelley Financial Solutions (DFIN) posted Long-Term Debt Repayments of $1.5 million for Q2 2026, up 87.5% from $800,000 a year earlier and up 7.1% from the prior quarter.
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Analysis
Donnelley Financial Solutions (DFIN) Long-Term Debt Repayments (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Donnelley Financial Solutions was $5 million, down 96.1% year-over-year; for FY2025, it was $129.3 million.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 15.2% (FY2020 to FY2025).
- In prior years, Donnelley Financial Solutions' Long-Term Debt Repayments was $2.9 million in FY2024 (+20.8%), $2.4 million in FY2023 (+33.3%), $1.8 million in FY2022 (-99.4%) and $312.8 million in FY2021 (+390.3%).
- The Q2 2026 figure stands as the highest quarterly Long-Term Debt Repayments since Q1 2025.
- On a year-over-year basis, Long-Term Debt Repayments increased in four of the last seven quarters, with growth averaging 16.8%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q2 2026, with growth of 87.5%; the weakest was Q4 2022, with a decline of 99.9%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $1.4 million (Q1 2026), $1.4 million (Q4 2025) and $700,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 484.14 Bn | 453.09 Bn | 1.64 Bn | - |
| 2 | Oracle | 382.29 Bn | 254.42 Bn | - | 4.20 Bn |
| 3 | Sap Se | 271.18 Bn | 198.96 Bn | 8.40 Bn | -1.86 Bn |
| 4 | Salesforce | 198.30 Bn | 154.17 Bn | 8.70 Bn | 176.00 Mn |
| 5 | ServiceNow | 157.86 Bn | 136.32 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 118.67 Bn | 100.80 Bn | 2.51 Bn | 300,000.00 |
| 7 | Intuit | 92.65 Bn | 72.00 Bn | 3.44 Bn | - |
| 8 | Relx | 71.64 Bn | 70.74 Bn | - | - |
| 9 | Strategy | 54.13 Bn | 47.12 Bn | 81.55 Mn | 1.38 Bn |
| 10 | Donnelley Financial Solutions | 1.32 Bn | 1.22 Bn | 148.00 Mn | 1.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.70 Mn |
| Mar 31, 2026 | 1.60 Mn |
| Dec 31, 2025 | 2.20 Mn |
| Sep 30, 2025 | 700,000.00 |
| Jun 30, 2025 | 800,000.00 |
| Mar 31, 2025 | 125.90 Mn |
| Dec 31, 2024 | 800,000.00 |
| Sep 30, 2024 | 700,000.00 |
| Jun 30, 2024 | 800,000.00 |
| Mar 31, 2024 | 600,000.00 |
| Dec 31, 2023 | 700,000.00 |
| Sep 30, 2023 | 500,000.00 |
| Jun 30, 2023 | 600,000.00 |
| Mar 31, 2023 | 600,000.00 |
| Dec 31, 2022 | 400,000.00 |
| Sep 30, 2022 | 500,000.00 |
| Jun 30, 2022 | 500,000.00 |
| Mar 31, 2022 | 400,000.00 |
| Dec 31, 2021 | 313.20 Mn |
| Sep 30, 2021 | 400,000.00 |
API Access
Donnelley Financial Solutions Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=DFIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();