N-able (NABL) Shares Outstanding (Diluted) (2020 - 2026)
N-able's Shares Outstanding (Diluted) came in at 189.12 million for Q2 2026, up 0.2% from 188.82 million a year earlier and up 0.8% from the prior quarter.
Powered by 
Analysis
N-able (NABL) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, N-able's Shares Outstanding (Diluted) was 187.82 million, down 0.3% from FY2024.
- Shares Outstanding (Diluted) carries a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 188.43 million in FY2024 (+1.3%), 185.98 million in FY2023 (+2.6%), 181.3 million in FY2022 (+7.5%) and 168.67 million in FY2021 (+6.7%).
- The Q2 2026 figure represents the highest quarterly Shares Outstanding (Diluted) in data going back to Q2 2020.
- Year-over-year, Shares Outstanding (Diluted) increased in six of the last eight quarters, with growth averaging 0.4%.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q2 2022 (growth of 14.2%), and the weakest in Q1 2026 (a decline of 0.4%).
- Business Quant data shows NABL's Shares Outstanding (Diluted) at 187.55 million (Q1 2026), 187.82 million (Q4 2025) and 188.42 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 764.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 739.90 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 349.26 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 371.02 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 178.81 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 82.54 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 160.22 Mn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 42.88 Mn |
| 10 | N-able | 776.40 Mn | 329.51 Mn | 106.20 Mn | 189.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 189.12 Mn |
| Mar 31, 2026 | 187.55 Mn |
| Dec 31, 2025 | 187.82 Mn |
| Sep 30, 2025 | 188.42 Mn |
| Jun 30, 2025 | 188.82 Mn |
| Mar 31, 2025 | 188.23 Mn |
| Dec 31, 2024 | 188.43 Mn |
| Sep 30, 2024 | 188.07 Mn |
| Jun 30, 2024 | 187.27 Mn |
| Mar 31, 2024 | 187.17 Mn |
| Dec 31, 2023 | 185.98 Mn |
| Sep 30, 2023 | 186.22 Mn |
| Jun 30, 2023 | 185.64 Mn |
| Mar 31, 2023 | 183.19 Mn |
| Dec 31, 2022 | 181.30 Mn |
| Sep 30, 2022 | 181.15 Mn |
| Jun 30, 2022 | 180.50 Mn |
| Mar 31, 2022 | 180.18 Mn |
| Dec 31, 2021 | 168.67 Mn |
| Sep 30, 2021 | 175.75 Mn |
API Access
N-able 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=NABL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "NABL", "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=NABL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();