Fnb (FNB) Return on Sales [ROS] (2009 - 2026)
Fnb (FNB) recorded Return on Sales [ROS] of 86.39% in Q2 2026, down 4.95 percentage points from 91.34% a year earlier but up 1.06 percentage points from the prior quarter.
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Analysis
Fnb (FNB) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Fnb's Return on Sales [ROS] came in at 87.42% as of Jun 30, 2026, down 6.40 percentage points year-over-year; for FY2025, it was 90.59%, down 5.08 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +45.28 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 95.68% in FY2024 (+16.75 pp), 78.93% in FY2023 (+29.17 pp), 49.76% in FY2022 (+1.17 pp) and 48.59% in FY2021 (+3.27 pp).
- Quarterly Return on Sales [ROS] has ranged from 27.88% in Q1 2022 to 98.51% in Q2 2024 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has declined for five consecutive quarters, with an average year-over-year change of -0.90 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 41.59 percentage points in Q1 2023, against a drop of 18.85 percentage points in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 85.33% (Q1 2026), 84.50% (Q4 2025) and 93.44% (Q3 2025).
Peer Set
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 | Fnb | 6.16 Bn | -3.79 Bn | - | 86.39% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 86.39% |
| Mar 31, 2026 | 85.33% |
| Dec 31, 2025 | 84.50% |
| Sep 30, 2025 | 93.44% |
| Jun 30, 2025 | 91.34% |
| Mar 31, 2025 | 93.43% |
| Dec 31, 2024 | 93.57% |
| Sep 30, 2024 | 97.09% |
| Jun 30, 2024 | 98.51% |
| Mar 31, 2024 | 93.37% |
| Dec 31, 2023 | 78.70% |
| Sep 30, 2023 | 86.24% |
| Jun 30, 2023 | 81.46% |
| Mar 31, 2023 | 69.47% |
| Dec 31, 2022 | 60.00% |
| Sep 30, 2022 | 57.63% |
| Jun 30, 2022 | 48.51% |
| Mar 31, 2022 | 27.88% |
| Dec 31, 2021 | 47.52% |
| Sep 30, 2021 | 50.63% |
API Access
Fnb 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=FNB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FNB", "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=FNB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();