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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 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 |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn |
| 10 | Donnelley Financial Solutions | 1.18 Bn | 1.08 Bn | 148.00 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();