Pnc Financial Services (PNC) Return on Sales [ROS] (2009 - 2026)
Pnc Financial Services (PNC) posted Return on Sales [ROS] of 75.24% for Q2 2026, down 8.47 percentage points from 83.71% a year earlier and down 0.51 percentage points from the prior quarter.
Pnc Financial Services (PNC) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Pnc Financial Services was 79.86%, down 7.82 percentage points year-over-year; for FY2025, it was 83.91%, down 9.46 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +55.57 percentage points (FY2020 to FY2025).
- In prior years, Pnc Financial Services' Return on Sales [ROS] was 93.38% in FY2024 (+13.67 pp), 79.70% in FY2023 (+32.85 pp), 46.85% in FY2022 (+7.94 pp) and 38.91% in FY2021 (+10.57 pp).
- The Q2 2026 figure stands as the lowest quarterly Return on Sales [ROS] since Q1 2023.
- On a year-over-year basis, Return on Sales [ROS] has declined in each of the last six quarters, with an average year-over-year change of -4.37 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2023, with a gain of 40.36 percentage points; the weakest was Q1 2022, with a drop of 16.09 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 75.75% (Q1 2026), 82.00% (Q4 2025) and 87.34% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 84.05% |
| 10 | Pnc Financial Services | 88.19 Bn | 88.25 Bn | - | 75.24% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 75.24% |
| Mar 31, 2026 | 75.75% |
| Dec 31, 2025 | 82.00% |
| Sep 30, 2025 | 87.34% |
| Jun 30, 2025 | 83.71% |
| Mar 31, 2025 | 82.54% |
| Dec 31, 2024 | 87.59% |
| Sep 30, 2024 | 97.09% |
| Jun 30, 2024 | 93.98% |
| Mar 31, 2024 | 95.08% |
| Dec 31, 2023 | 77.49% |
| Sep 30, 2023 | 88.74% |
| Jun 30, 2023 | 79.52% |
| Mar 31, 2023 | 73.55% |
| Dec 31, 2022 | 57.37% |
| Sep 30, 2022 | 48.39% |
| Jun 30, 2022 | 40.38% |
| Mar 31, 2022 | 39.17% |
| Dec 31, 2021 | 34.64% |
| Sep 30, 2021 | 37.18% |
Pnc Financial Services Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=PNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PNC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=PNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();