Provident Financial Services (PFS) Return on Sales [ROS] (2009 - 2026)
Provident Financial Services (PFS) recorded Return on Sales [ROS] of 98.01% in Q2 2026, down 10.16 percentage points from 108.17% a year earlier and down 4.79 percentage points from the prior quarter.
Provident Financial Services (PFS) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Provident Financial Services' Return on Sales [ROS] came in at 103.02% as of Jun 30, 2026, up 2.46 percentage points year-over-year; for FY2025, it came in at 105.74%, up 20.08 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for three straight years, with a five-year change of +59.43 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 85.67% in FY2024 (+3.85 pp), 81.82% in FY2023 (+24.68 pp), 57.14% in FY2022 (-1.04 pp) and 58.17% in FY2021 (+11.87 pp).
- The Q2 2026 figure is the lowest quarterly Return on Sales [ROS] since Q4 2024.
- On a year-over-year basis, Return on Sales [ROS] rose in five of the last eight quarters, with an average year-over-year change of +10.17 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 56.27 percentage points in Q2 2025, against a drop of 27.80 percentage points in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 102.80% (Q1 2026), 106.18% (Q4 2025) and 105.33% (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 | Provident Financial Services | 2.95 Bn | 2.20 Bn | - | 98.01% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 98.01% |
| Mar 31, 2026 | 102.80% |
| Dec 31, 2025 | 106.18% |
| Sep 30, 2025 | 105.33% |
| Jun 30, 2025 | 108.17% |
| Mar 31, 2025 | 103.22% |
| Dec 31, 2024 | 93.69% |
| Sep 30, 2024 | 96.92% |
| Jun 30, 2024 | 51.89% |
| Mar 31, 2024 | 98.85% |
| Dec 31, 2023 | 94.24% |
| Sep 30, 2023 | 85.98% |
| Jun 30, 2023 | 79.69% |
| Mar 31, 2023 | 69.15% |
| Dec 31, 2022 | 68.30% |
| Sep 30, 2022 | 52.43% |
| Jun 30, 2022 | 50.14% |
| Mar 31, 2022 | 57.25% |
| Dec 31, 2021 | 52.26% |
| Sep 30, 2021 | 51.09% |
Provident 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=PFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PFS", "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=PFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();