N-able (NABL) Shares Outstanding (2020 - 2026)
N-able (NABL) posted Shares Outstanding of 188.63 million for Q2 2026, down 0.1% from 188.82 million a year earlier but up 0.6% from the prior quarter.
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Analysis
N-able (NABL) Shares Outstanding (2020 - 2026) Analysis & Trends
For FY2025, N-able's Shares Outstanding came in at 187.82 million, up 1.4% from FY2024.
- Annual Shares Outstanding has increased for five consecutive years, with a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- In prior years, N-able's Shares Outstanding was 185.28 million in FY2024 (+1.6%), 182.37 million in FY2023 (+1.2%), 180.14 million in FY2022 (+7.6%) and 167.46 million in FY2021 (+5.9%).
- Quarterly Shares Outstanding has run from a low of 167.46 million in Q4 2021 to a high of 188.82 million in Q2 2025 over five years.
- On a year-over-year basis, Shares Outstanding increased in six of the last eight quarters, with growth averaging 1.2%.
- The strongest year-over-year quarter for Shares Outstanding in the past five years was Q2 2022, with growth of 13.9%; the weakest was Q1 2026, with a decline of 0.4%.
- According to Business Quant data, Shares Outstanding for the three prior quarters was 187.55 million (Q1 2026), 187.82 million (Q4 2025) and 187.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 749.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 1.02 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 733.10 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 | 356.25 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 174.30 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 80.57 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 160.22 Mn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 34.38 Mn |
| 10 | N-able | 776.40 Mn | 329.51 Mn | 106.20 Mn | 188.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 188.63 Mn |
| Mar 31, 2026 | 187.55 Mn |
| Dec 31, 2025 | 187.82 Mn |
| Sep 30, 2025 | 187.60 Mn |
| Jun 30, 2025 | 188.82 Mn |
| Mar 31, 2025 | 188.23 Mn |
| Dec 31, 2024 | 185.28 Mn |
| Sep 30, 2024 | 185.51 Mn |
| Jun 30, 2024 | 185.00 Mn |
| Mar 31, 2024 | 184.02 Mn |
| Dec 31, 2023 | 182.37 Mn |
| Sep 30, 2023 | 182.71 Mn |
| Jun 30, 2023 | 182.25 Mn |
| Mar 31, 2023 | 181.44 Mn |
| Dec 31, 2022 | 180.14 Mn |
| Sep 30, 2022 | 180.32 Mn |
| Jun 30, 2022 | 180.03 Mn |
| Mar 31, 2022 | 179.46 Mn |
| Dec 31, 2021 | 167.46 Mn |
| Sep 30, 2021 | 174.47 Mn |
API Access
N-able Shares Outstanding 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&ticker=NABL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=NABL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();