Nn (NNBR) Return on Sales [ROS] (2009 - 2026)
Nn (NNBR) recorded Return on Sales [ROS] of -2.53% in Q3 2026, down 0.37 percentage points from -2.16% a year earlier and down 3.31 percentage points from the prior quarter.
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Analysis
Nn (NNBR) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Nn's Return on Sales [ROS] came in at -3.06% as of Sep 30, 2026, up 2.92 percentage points year-over-year; for FY2025, it was -4.48%, up 1.45 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +22.99 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -5.93% in FY2024 (-1.48 pp), -4.46% in FY2023 (-0.23 pp), -4.23% in FY2022 (-2.34 pp) and -1.89% in FY2021 (+25.59 pp).
- Quarterly Return on Sales [ROS] has ranged from -15.84% in Q4 2024 to 0.78% in Q2 2026 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 +0.33 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 5.89 percentage points in Q4 2025, against a drop of 8.78 percentage points in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 0.78% (Q2 2026), -1.74% (Q1 2026) and -9.95% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 20.38% |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 29.53% |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 17.76% |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 19.96% |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 23.66% |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 25.88% |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 27.79% |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 22.81% |
| 10 | Nn | 250.71 Mn | 237.71 Mn | 18.27 Mn | -2.53% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -2.53% |
| Jun 30, 2026 | 0.78% |
| Mar 31, 2026 | -1.74% |
| Dec 31, 2025 | -9.95% |
| Sep 30, 2025 | -2.16% |
| Jun 30, 2025 | -1.36% |
| Mar 31, 2025 | -4.53% |
| Dec 31, 2024 | -15.84% |
| Sep 30, 2024 | -3.30% |
| Jun 30, 2024 | -1.75% |
| Mar 31, 2024 | -3.95% |
| Dec 31, 2023 | -7.06% |
| Sep 30, 2023 | -2.20% |
| Jun 30, 2023 | -3.23% |
| Mar 31, 2023 | -5.57% |
| Dec 31, 2022 | -9.36% |
| Sep 30, 2022 | -1.66% |
| Jun 30, 2022 | -3.60% |
| Mar 31, 2022 | -2.67% |
| Dec 31, 2021 | -3.43% |
API Access
Nn 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=NNBR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "NNBR", "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=NNBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();