Donnelley Financial Solutions (DFIN) Cash from Operations (2015 - 2026)
Donnelley Financial Solutions (DFIN) reported Cash from Operations of $74.7 million for Q2 2026, up 9.2% from $68.4 million a year earlier.
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Analysis
Donnelley Financial Solutions (DFIN) Cash from Operations (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Donnelley Financial Solutions' Cash from Operations came in at $203.3 million, up 17.2% year-over-year; for FY2025, it was $164.9 million, down 3.6% from FY2024.
- Cash from Operations has a five-year compound annual growth rate of 1.4% (FY2020 to FY2025).
- By year, Cash from Operations came in at $171.1 million in FY2024 (+38.0%), $124 million in FY2023 (-17.4%), $150.2 million in FY2022 (-16.6%) and $180 million in FY2021 (+16.7%).
- The Q2 2026 figure ranks as the highest quarterly Cash from Operations since Q3 2024.
- Year over year, Cash from Operations gained in four of the last six quarters, with growth averaging 1.0%.
- The high point for year-over-year Cash from Operations in five years was Q2 2024 (growth of 178.2%); the low point was Q2 2023 (a decline of 55.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$5.6 million (Q1 2026), $59.8 million (Q4 2025) and $74.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 1.22 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 23.10 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 3.66 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 1.27 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 587.00 Mn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 1.43 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 1.33 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | -4.14 Mn |
| 10 | Donnelley Financial Solutions | 1.16 Bn | 1.07 Bn | 148.00 Mn | 74.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 74.70 Mn |
| Mar 31, 2026 | -5.60 Mn |
| Dec 31, 2025 | 59.80 Mn |
| Sep 30, 2025 | 74.40 Mn |
| Jun 30, 2025 | 68.40 Mn |
| Mar 31, 2025 | -37.70 Mn |
| Dec 31, 2024 | 56.40 Mn |
| Sep 30, 2024 | 86.40 Mn |
| Jun 30, 2024 | 56.20 Mn |
| Mar 31, 2024 | -27.90 Mn |
| Dec 31, 2023 | 74.80 Mn |
| Sep 30, 2023 | 80.50 Mn |
| Jun 30, 2023 | 20.20 Mn |
| Mar 31, 2023 | -51.50 Mn |
| Dec 31, 2022 | 73.30 Mn |
| Sep 30, 2022 | 83.30 Mn |
| Jun 30, 2022 | 45.80 Mn |
| Mar 31, 2022 | -52.20 Mn |
| Dec 31, 2021 | 76.80 Mn |
| Sep 30, 2021 | 110.90 Mn |
API Access
Donnelley Financial Solutions Cash from Operations 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=cash-from-operations&ticker=DFIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();