Donnelley Financial Solutions (DFIN) Other Non-Current Liabilities (2015 - 2026)
Donnelley Financial Solutions (DFIN) recorded Other Non-Current Liabilities of $15.3 million in Q2 2026, up 13.3% from $13.5 million a year earlier but down 2.5% from the prior quarter.
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Analysis
Donnelley Financial Solutions (DFIN) Other Non-Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Donnelley Financial Solutions reported Other Non-Current Liabilities of $16.1 million, up 8.8% from FY2024.
- Annual Other Non-Current Liabilities has a five-year compound annual growth rate of -9.1% (FY2020 to FY2025).
- Across earlier years, Other Non-Current Liabilities came in at $14.8 million in FY2024 (-22.1%), $19 million in FY2023 (-4.5%), $19.9 million in FY2022 (-5.7%) and $21.1 million in FY2021 (-18.8%).
- Quarterly Other Non-Current Liabilities has ranged from $13.3 million in Q3 2025 to $21.3 million in Q1 2022 over the past five years.
- On a year-over-year basis, Other Non-Current Liabilities has increased for three consecutive quarters, with an average decline of 8.1% over the last eight quarters.
- Peak year-over-year performance for Other Non-Current Liabilities in the last five years was growth of 13.3% in Q2 2026, against a decline of 22.1% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $15.7 million (Q1 2026), $16.1 million (Q4 2025) and $13.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 479.32 Bn | 448.27 Bn | 1.64 Bn |
| 2 | Oracle | 385.45 Bn | 257.58 Bn | - |
| 3 | Sap Se | 269.29 Bn | 197.07 Bn | 8.40 Bn |
| 4 | Salesforce | 198.89 Bn | 154.76 Bn | 8.70 Bn |
| 5 | ServiceNow | 157.30 Bn | 135.76 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 118.43 Bn | 100.56 Bn | 2.51 Bn |
| 7 | Intuit | 92.23 Bn | 71.58 Bn | 3.44 Bn |
| 8 | Relx | 70.93 Bn | 70.02 Bn | - |
| 9 | Strategy | 54.55 Bn | 47.54 Bn | 81.55 Mn |
| 10 | Donnelley Financial Solutions | 1.33 Bn | 1.23 Bn | 148.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.50 Mn |
| Mar 31, 2026 | 28.00 Mn |
| Dec 31, 2025 | 28.60 Mn |
| Sep 30, 2025 | 25.30 Mn |
| Jun 30, 2025 | 25.10 Mn |
| Mar 31, 2025 | 26.00 Mn |
| Dec 31, 2024 | 27.00 Mn |
| Sep 30, 2024 | 29.90 Mn |
| Jun 30, 2024 | 30.00 Mn |
| Mar 31, 2024 | 31.70 Mn |
| Dec 31, 2023 | 32.10 Mn |
| Sep 30, 2023 | 33.20 Mn |
| Jun 30, 2023 | 34.80 Mn |
| Mar 31, 2023 | 35.20 Mn |
| Dec 31, 2022 | 33.50 Mn |
| Sep 30, 2022 | 38.00 Mn |
| Jun 30, 2022 | 39.50 Mn |
| Mar 31, 2022 | 40.80 Mn |
| Dec 31, 2021 | 40.90 Mn |
| Sep 30, 2021 | 40.80 Mn |
API Access
Donnelley Financial Solutions Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=DFIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();