Donnelley Financial Solutions (DFIN) Operating Leases (2019 - 2026)
Donnelley Financial Solutions (DFIN) posted Operating Leases of $4.3 million for Q2 2026, up 38.7% from $3.1 million a year earlier and up 53.6% from the prior quarter.
Donnelley Financial Solutions (DFIN) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Donnelley Financial Solutions' Operating Leases came in at $3.3 million, down 48.4% from FY2024.
- Annual Operating Leases has declined for six consecutive years, with a five-year compound annual growth rate of -42.2% (FY2020 to FY2025).
- In prior years, Donnelley Financial Solutions' Operating Leases was $6.4 million in FY2024 (-47.1%), $12.1 million in FY2023 (-57.4%), $28.4 million in FY2022 (-27.9%) and $39.4 million in FY2021 (-22.7%).
- Quarterly Operating Leases has run from a low of $2.6 million in Q3 2025 to a high of $41.7 million in Q3 2021 over five years.
- On a year-over-year basis, Operating Leases increased in 1 of the last eight quarters, with an average decline of 40.6%.
- The strongest year-over-year quarter for Operating Leases in the past five years was Q2 2026, with growth of 38.7%; the weakest was Q2 2024, with a decline of 67.0%.
- According to Business Quant data, Operating Leases for the three prior quarters was $2.8 million (Q1 2026), $3.3 million (Q4 2025) and $2.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 460.05 Bn | 429.00 Bn | 1.64 Bn |
| 2 | Oracle | 392.62 Bn | 264.76 Bn | - |
| 3 | Sap Se | 268.58 Bn | 196.36 Bn | 8.40 Bn |
| 4 | Salesforce | 195.20 Bn | 151.07 Bn | 8.70 Bn |
| 5 | ServiceNow | 154.33 Bn | 132.79 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 116.91 Bn | 99.03 Bn | 2.51 Bn |
| 7 | Intuit | 92.28 Bn | 71.63 Bn | 3.44 Bn |
| 8 | Relx | 72.18 Bn | 71.28 Bn | - |
| 9 | Strategy | 51.29 Bn | 44.28 Bn | 81.55 Mn |
| 10 | Donnelley Financial Solutions | 1.33 Bn | 1.23 Bn | 148.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.30 Mn |
| Mar 31, 2026 | 2.80 Mn |
| Dec 31, 2025 | 3.30 Mn |
| Sep 30, 2025 | 2.60 Mn |
| Jun 30, 2025 | 3.10 Mn |
| Mar 31, 2025 | 4.30 Mn |
| Dec 31, 2024 | 6.40 Mn |
| Sep 30, 2024 | 6.30 Mn |
| Jun 30, 2024 | 7.00 Mn |
| Mar 31, 2024 | 9.40 Mn |
| Dec 31, 2023 | 12.10 Mn |
| Sep 30, 2023 | 17.60 Mn |
| Jun 30, 2023 | 21.20 Mn |
| Mar 31, 2023 | 24.80 Mn |
| Dec 31, 2022 | 28.40 Mn |
| Sep 30, 2022 | 31.50 Mn |
| Jun 30, 2022 | 36.00 Mn |
| Mar 31, 2022 | 40.50 Mn |
| Dec 31, 2021 | 39.40 Mn |
| Sep 30, 2021 | 41.70 Mn |
Donnelley Financial Solutions Operating Leases 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=operating-leases&ticker=DFIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();