N-able (NABL) Revenue (2020 - 2026)
N-able's Revenue was $138.22 million in Q2 2026, up 5.9% from $130.52 million a year earlier and up 4.4% from the prior quarter.
N-able (NABL) Revenue (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, N-able's Revenue was $530.82 million through Jun 30, 2026, up 10.1% year-over-year; for FY2025, it was $508.84 million, up 9.3% from FY2024.
- Revenue has now increased for six consecutive years, with a five-year compound annual growth rate of 10.9% (FY2020 to FY2025).
- In earlier years, Revenue was $465.55 million in FY2024 (+10.3%), $422.16 million in FY2023 (+13.6%), $371.77 million in FY2022 (+7.3%) and $346.46 million in FY2021 (+14.4%).
- The Q2 2026 figure marks the highest quarterly Revenue in data going back to Q2 2020.
- Compared with a year earlier, Revenue has increased for 21 straight quarters, with growth averaging 8.9% over the last eight quarters.
- Across the past five years, year-over-year growth in Revenue ran from 4.0% in Q1 2025 to 15.9% in Q3 2021.
- Per Business Quant data, NABL's Revenue in the three quarters before Q2 2026 was $132.37 million (Q1 2026), $129.17 million (Q4 2025) and $131.06 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 3.41 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 1.47 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 2.05 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 1.55 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 1.12 Bn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 805.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 904.39 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 4.62 Bn |
| 10 | N-able | 776.40 Mn | 329.51 Mn | 106.20 Mn | 138.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 138.22 Mn |
| Mar 31, 2026 | 132.37 Mn |
| Dec 31, 2025 | 129.17 Mn |
| Sep 30, 2025 | 131.06 Mn |
| Jun 30, 2025 | 130.52 Mn |
| Mar 31, 2025 | 118.09 Mn |
| Dec 31, 2024 | 116.19 Mn |
| Sep 30, 2024 | 117.48 Mn |
| Jun 30, 2024 | 118.35 Mn |
| Mar 31, 2024 | 113.54 Mn |
| Dec 31, 2023 | 108.70 Mn |
| Sep 30, 2023 | 107.57 Mn |
| Jun 30, 2023 | 106.08 Mn |
| Mar 31, 2023 | 99.82 Mn |
| Dec 31, 2022 | 95.76 Mn |
| Sep 30, 2022 | 93.53 Mn |
| Jun 30, 2022 | 91.63 Mn |
| Mar 31, 2022 | 90.86 Mn |
| Dec 31, 2021 | 89.50 Mn |
| Sep 30, 2021 | 88.42 Mn |
N-able Revenue 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=revenue&ticker=NABL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=NABL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();