Stifel Financial (SF) Technology and Communications (2009 - 2026)
Stifel Financial (SF) recorded Technology and Communications of $46.34 million in Q2 2026, down 3.1% from $47.85 million a year earlier and down 9.2% from the prior quarter.
Stifel Financial (SF) Technology and Communications (2009 - 2026) Analysis & Trends
On a TTM basis, Stifel Financial's Technology and Communications came in at $196.32 million as of Jun 30, 2026, up 0.1% year-over-year; for FY2025, it was $196.31 million, up 1.0% from FY2024.
- Annual Technology and Communications has increased for eight straight years, with a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- Across earlier years, Technology and Communications came in at $194.38 million in FY2024 (+5.3%), $184.65 million in FY2023 (+5.4%), $175.14 million in FY2022 (+5.8%) and $165.49 million in FY2021 (+0.5%).
- The Q2 2026 figure is the lowest quarterly Technology and Communications since Q3 2023.
- On a year-over-year basis, Technology and Communications rose in five of the last eight quarters, with growth averaging 1.9%.
- Peak year-over-year performance for Technology and Communications in the last five years was growth of 8.7% in Q1 2023, against a decline of 3.1% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $51.02 million (Q1 2026), $50.06 million (Q4 2025) and $48.89 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Technology (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 911.77 Bn | 911.77 Bn | - | 3.34 Bn |
| 2 | Bank Of America | 360.24 Bn | -2,015.87 Bn | - | 2.01 Bn |
| 3 | Hsbc Holdings | 311.40 Bn | -1,792.19 Bn | - | - |
| 4 | Morgan Stanley | 292.00 Bn | -252.03 Bn | - | 1.30 Bn |
| 5 | Royal Bank Of Canada | 285.75 Bn | -544.30 Bn | - | 284.73 Mn |
| 6 | Goldman Sachs | 266.89 Bn | -3,476.56 Bn | - | 674.00 Mn |
| 7 | Wells Fargo & Company | 257.34 Bn | 257.34 Bn | - | - |
| 8 | Mitsubishi Ufj Financial | 245.83 Bn | -95.56 Bn | 10.89 Bn | - |
| 9 | American Express | 218.29 Bn | 17.77 Bn | - | - |
| 10 | Stifel Financial | 11.08 Bn | -4.50 Bn | - | 48.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 48.85 Mn |
| Jun 30, 2026 | 46.34 Mn |
| Mar 31, 2026 | 51.02 Mn |
| Dec 31, 2025 | 50.06 Mn |
| Sep 30, 2025 | 48.89 Mn |
| Jun 30, 2025 | 47.85 Mn |
| Mar 31, 2025 | 49.51 Mn |
| Dec 31, 2024 | 49.97 Mn |
| Sep 30, 2024 | 48.87 Mn |
| Jun 30, 2024 | 48.18 Mn |
| Mar 31, 2024 | 47.37 Mn |
| Dec 31, 2023 | 47.33 Mn |
| Sep 30, 2023 | 46.22 Mn |
| Jun 30, 2023 | 44.97 Mn |
| Mar 31, 2023 | 46.14 Mn |
| Dec 31, 2022 | 45.21 Mn |
| Sep 30, 2022 | 43.83 Mn |
| Jun 30, 2022 | 43.65 Mn |
| Mar 31, 2022 | 42.46 Mn |
| Dec 31, 2021 | 41.93 Mn |
Stifel Financial Technology and Communications 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=technology-and-communications&ticker=SF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "technology-and-communications", "ticker": "SF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=technology-and-communications&ticker=SF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();