Donnelley Financial Solutions (DFIN) Non-Current Debt (2015 - 2026)
Donnelley Financial Solutions' Non-Current Debt came in at $198.2 million for Q2 2026, up 7.5% from $184.3 million a year earlier but down 11.6% from the prior quarter.
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Analysis
Donnelley Financial Solutions (DFIN) Non-Current Debt (2015 - 2026) Analysis & Trends
At the end of FY2025, Donnelley Financial Solutions' Non-Current Debt was $165.5 million, up 32.7% from FY2024.
- Non-Current Debt carries a five-year compound annual growth rate of -6.4% (FY2020 to FY2025).
- Going back by year, Non-Current Debt was $124.7 million in FY2024 (+0.2%), $124.5 million in FY2023 (-26.4%), $169.2 million in FY2022 (+36.5%) and $124 million in FY2021 (-46.2%).
- The five-year range for quarterly Non-Current Debt is $124 million (Q4 2021) to $234.8 million (Q1 2023).
- Year-over-year, Non-Current Debt has increased for five consecutive quarters, with growth averaging 6.2% over the last eight quarters.
- The fastest year-over-year change in Non-Current Debt over five years came in Q4 2022 (growth of 36.5%), and the weakest in Q4 2021 (a decline of 46.2%).
- Business Quant data shows DFIN's Non-Current Debt at $224.1 million (Q1 2026), $165.5 million (Q4 2025) and $148.9 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | - |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 117.71 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 9.93 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 39.29 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 | 4.96 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 6.42 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 3.14 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 6.67 Bn |
| 10 | Donnelley Financial Solutions | 1.18 Bn | 1.08 Bn | 148.00 Mn | 198.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 198.20 Mn |
| Mar 31, 2026 | 224.10 Mn |
| Dec 31, 2025 | 165.50 Mn |
| Sep 30, 2025 | 148.90 Mn |
| Jun 30, 2025 | 184.30 Mn |
| Mar 31, 2025 | 183.70 Mn |
| Dec 31, 2024 | 124.70 Mn |
| Sep 30, 2024 | 124.60 Mn |
| Jun 30, 2024 | 179.60 Mn |
| Mar 31, 2024 | 204.50 Mn |
| Dec 31, 2023 | 124.50 Mn |
| Sep 30, 2023 | 165.90 Mn |
| Jun 30, 2023 | 219.80 Mn |
| Mar 31, 2023 | 234.80 Mn |
| Dec 31, 2022 | 169.20 Mn |
| Sep 30, 2022 | 191.70 Mn |
| Jun 30, 2022 | 234.10 Mn |
| Mar 31, 2022 | 194.10 Mn |
| Dec 31, 2021 | 124.00 Mn |
| Sep 30, 2021 | 190.50 Mn |
API Access
Donnelley Financial Solutions Non-Current Debt 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=non-current-debt&ticker=DFIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();