Donnelley Financial Solutions (DFIN) Short-Term Debt repayments (2017 - 2026)
Donnelley Financial Solutions' Short-Term Debt repayments came in at $62 million for Q2 2026, unchanged from $62 million a year earlier and up 143.1% from the prior quarter.
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Analysis
Donnelley Financial Solutions (DFIN) Short-Term Debt repayments (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Donnelley Financial Solutions reported Short-Term Debt repayments of $205.5 million, down 0.2% year-over-year; for FY2025, it came in at $248.5 million, up 55.8% from FY2024.
- Short-Term Debt repayments carries a five-year compound annual growth rate of -7.6% (FY2020 to FY2025).
- Going back by year, Short-Term Debt repayments was $159.5 million in FY2024 (-54.0%), $347 million in FY2023 (+15.5%), $300.5 million in FY2022 (+8.1%) and $278 million in FY2021 (-24.7%).
- The five-year range for quarterly Short-Term Debt repayments is $25.5 million (Q2 2024) to $125.5 million (Q4 2023).
- Year-over-year, Short-Term Debt repayments increased in two of the last six quarters, with growth averaging 9.0%.
- The fastest year-over-year change in Short-Term Debt repayments over five years came in Q2 2025 (growth of 143.1%), and the weakest in Q2 2024 (a decline of 70.0%).
- Business Quant data shows DFIN's Short-Term Debt repayments at $25.5 million (Q1 2026), $55 million (Q4 2025) and $63 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 484.14 Bn | 453.09 Bn | 1.64 Bn | - |
| 2 | Oracle | 382.29 Bn | 254.42 Bn | - | - |
| 3 | Sap Se | 271.18 Bn | 198.96 Bn | 8.40 Bn | - |
| 4 | Salesforce | 198.30 Bn | 154.17 Bn | 8.70 Bn | - |
| 5 | ServiceNow | 157.86 Bn | 136.32 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 118.67 Bn | 100.80 Bn | 2.51 Bn | - |
| 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 | - |
| 10 | Donnelley Financial Solutions | 1.32 Bn | 1.22 Bn | 148.00 Mn | 62.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.00 Mn |
| Mar 31, 2026 | 25.50 Mn |
| Dec 31, 2025 | 55.00 Mn |
| Sep 30, 2025 | 63.00 Mn |
| Jun 30, 2025 | 62.00 Mn |
| Mar 31, 2025 | 68.50 Mn |
| Sep 30, 2024 | 75.50 Mn |
| Jun 30, 2024 | 25.50 Mn |
| Mar 31, 2024 | 58.50 Mn |
| Dec 31, 2023 | 125.50 Mn |
| Sep 30, 2023 | 103.00 Mn |
| Jun 30, 2023 | 85.00 Mn |
| Mar 31, 2023 | 33.50 Mn |
| Dec 31, 2022 | 98.00 Mn |
| Sep 30, 2022 | 103.50 Mn |
| Jun 30, 2022 | 56.00 Mn |
| Mar 31, 2022 | 43.00 Mn |
| Sep 30, 2021 | 60.00 Mn |
| Jun 30, 2021 | 135.00 Mn |
| Mar 31, 2021 | 83.00 Mn |
API Access
Donnelley Financial Solutions Short-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=short-term-debt-repayments&ticker=DFIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-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=short-term-debt-repayments&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();