Nn (NNBR) Shares Outstanding (Diluted) (2009 - 2026)
Nn (NNBR) recorded Weighted Average Shares Outstanding (Diluted) of 78.11 million in Q3 2026, up 57.5% from 49.61 million a year earlier and up 55.4% from the prior quarter.
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Analysis
Nn (NNBR) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Nn reported Weighted Average Shares Outstanding (Diluted) of 49.44 million, up 1.6% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) has increased for 16 straight years, with a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding (Diluted) came in at 48.65 million in FY2024 (+4.1%), 46.74 million in FY2023 (+4.6%), 44.68 million in FY2022 (+1.5%) and 44.01 million in FY2021 (+4.3%).
- The Q3 2026 figure is the highest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to Q2 2010.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has increased for 34 consecutive quarters, with growth averaging 8.9% over the last eight quarters.
- Across the past five years, year-over-year growth in Weighted Average Shares Outstanding (Diluted) ran from 0.6% in Q3 2022 to 57.5% in Q3 2026.
- Per Business Quant, the preceding three quarters came in at 50.26 million (Q2 2026), 49.7 million (Q1 2026) and 49.44 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 460.90 Mn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 2.58 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 270.70 Mn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 389.60 Mn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 127.80 Mn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 522.60 Mn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 562.00 Mn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 285.30 Mn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 392.68 Mn |
| 10 | Nn | 250.71 Mn | 237.71 Mn | 18.27 Mn | 78.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 78.11 Mn |
| Jun 30, 2026 | 50.26 Mn |
| Mar 31, 2026 | 49.70 Mn |
| Dec 31, 2025 | 49.44 Mn |
| Sep 30, 2025 | 49.61 Mn |
| Jun 30, 2025 | 49.43 Mn |
| Mar 31, 2025 | 49.08 Mn |
| Dec 31, 2024 | 48.65 Mn |
| Sep 30, 2024 | 49.00 Mn |
| Jun 30, 2024 | 48.84 Mn |
| Mar 31, 2024 | 47.72 Mn |
| Dec 31, 2023 | 46.74 Mn |
| Sep 30, 2023 | 47.54 Mn |
| Jun 30, 2023 | 46.36 Mn |
| Mar 31, 2023 | 45.31 Mn |
| Dec 31, 2022 | 44.68 Mn |
| Sep 30, 2022 | 44.71 Mn |
| Jun 30, 2022 | 44.71 Mn |
| Mar 31, 2022 | 44.59 Mn |
| Dec 31, 2021 | 44.01 Mn |
API Access
Nn Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=NNBR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=NNBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();