First National (FXNC) Return on Sales [ROS] (2010 - 2026)
First National (FXNC) recorded Return on Sales [ROS] of 374.14% in Q2 2026, down 3.69 percentage points from 377.83% a year earlier but up 17.22 percentage points from the prior quarter.
First National (FXNC) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, First National's Return on Sales [ROS] came in at 358.93% as of Jun 30, 2026, up 142.02 percentage points year-over-year; for FY2025, it was 337.26%, up 112.23 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +146.55 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 225.04% in FY2024 (-30.00 pp), 255.04% in FY2023 (+11.03 pp), 244.01% in FY2022 (+74.93 pp) and 169.08% in FY2021 (-21.63 pp).
- Quarterly Return on Sales [ROS] has ranged from 76.63% in Q4 2024 to 378.44% in Q4 2025 over the past five years.
- 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 +36.81 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 301.81 percentage points in Q4 2025, against a drop of 156.53 percentage points in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 356.91% (Q1 2026), 378.44% (Q4 2025) and 331.35% (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 | First National | 271.82 Mn | -432.36 Mn | - | 374.14% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 374.14% |
| Mar 31, 2026 | 356.91% |
| Dec 31, 2025 | 378.44% |
| Sep 30, 2025 | 331.35% |
| Jun 30, 2025 | 377.83% |
| Mar 31, 2025 | 258.50% |
| Dec 31, 2024 | 76.63% |
| Sep 30, 2024 | 319.94% |
| Jun 30, 2024 | 345.90% |
| Mar 31, 2024 | 373.78% |
| Dec 31, 2023 | 153.45% |
| Sep 30, 2023 | 273.20% |
| Jun 30, 2023 | 312.11% |
| Mar 31, 2023 | 293.88% |
| Dec 31, 2022 | 309.98% |
| Sep 30, 2022 | 250.04% |
| Jun 30, 2022 | 211.96% |
| Mar 31, 2022 | 204.54% |
| Dec 31, 2021 | 129.08% |
| Sep 30, 2021 | 146.21% |
First National 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=FXNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FXNC", "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=FXNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();