Nelnet (NNI) Return on Sales [ROS] (2010 - 2026)
Nelnet's Return on Sales [ROS] came in at 65.39% for Q2 2026, down 0.88 percentage points from 66.28% a year earlier and down 4.40 percentage points from the prior quarter.
Nelnet (NNI) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Nelnet reported Return on Sales [ROS] of -107.75%, up 20.31 percentage points year-over-year; for FY2025, it was -126.55%, up 6.58 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -30.32 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -133.13% in FY2024 (-18.40 pp), -114.73% in FY2023 (-179.91 pp), 65.18% in FY2022 (-1.52 pp) and 66.70% in FY2021 (+162.93 pp).
- The five-year range for quarterly Return on Sales [ROS] is -149.42% (Q4 2023) to 76.72% (Q4 2021).
- Year-over-year, Return on Sales [ROS] increased in three of the last six quarters, with an average year-over-year change of +57.10 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2024 (a gain of 178.93 percentage points), and the weakest in Q2 2023 (a drop of 177.55 percentage points).
- Business Quant data shows NNI's Return on Sales [ROS] at 69.79% (Q1 2026), -127.61% (Q4 2025) and 70.99% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 91.77% |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 93.16% |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 46.36% |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 95.89% |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 138.04% |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 131.07% |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | 51.45% |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 84.05% |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 6.25% |
| 10 | Nelnet | 4.41 Bn | 3.35 Bn | 828.72 Mn | 65.39% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 65.39% |
| Mar 31, 2026 | 69.79% |
| Dec 31, 2025 | -127.61% |
| Sep 30, 2025 | 70.99% |
| Jun 30, 2025 | 66.28% |
| Mar 31, 2025 | 70.11% |
| Sep 30, 2024 | 63.38% |
| Jun 30, 2024 | 66.77% |
| Mar 31, 2024 | 27.21% |
| Dec 31, 2023 | -12.64% |
| Sep 30, 2023 | 16.98% |
| Jun 30, 2023 | 5.84% |
| Mar 31, 2023 | 19.76% |
| Dec 31, 2022 | 88.91% |
| Sep 30, 2022 | 34.60% |
| Jun 30, 2022 | 65.38% |
| Mar 31, 2022 | 67.55% |
| Dec 31, 2021 | 76.72% |
| Sep 30, 2021 | 58.06% |
| Jun 30, 2021 | 60.58% |
Nelnet 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=NNI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "NNI", "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=NNI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();