N-able (NABL) EBITDA (2020 - 2026)
N-able's EBITDA was $27.04 million in Q2 2026, up 33.5% from $20.26 million a year earlier and up 20.1% from the prior quarter.
N-able (NABL) EBITDA (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, N-able's EBITDA was $95.41 million through Jun 30, 2026, up 9.2% year-over-year; for FY2025, it came in at $78.26 million, down 27.4% from FY2024.
- EBITDA shows a five-year compound annual growth rate of -2.8% (FY2020 to FY2025).
- In earlier years, EBITDA was $107.8 million in FY2024 (+17.1%), $92.05 million in FY2023 (+28.1%), $71.84 million in FY2022 (+7.1%) and $67.1 million in FY2021 (-25.6%).
- The Q2 2026 figure marks the highest quarterly EBITDA since Q3 2024.
- Compared with a year earlier, EBITDA was higher in three of the last eight quarters, with growth averaging 3.8%.
- The best year-over-year quarter for EBITDA over five years was Q1 2026 (growth of 85.5%); the worst was Q1 2025 (a decline of 53.5%).
- Per Business Quant data, NABL's EBITDA in the three quarters before Q2 2026 was $22.51 million (Q1 2026), $23.84 million (Q4 2025) and $22.03 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.42 Bn | 240.49 Bn | 2.30 Bn | 693.00 Mn |
| 2 | CrowdStrike Holdings | 232.07 Bn | 212.47 Bn | 1.10 Bn | 170.34 Mn |
| 3 | Fortinet | 125.35 Bn | 111.28 Bn | 1.64 Bn | 827.40 Mn |
| 4 | Snowflake | 111.63 Bn | 98.94 Bn | 1.04 Bn | -134.60 Mn |
| 5 | Datadog | 91.35 Bn | 72.99 Bn | 881.34 Mn | 47.04 Mn |
| 6 | Zscaler | 34.43 Bn | 20.55 Bn | - | - |
| 7 | Okta | 33.87 Bn | 23.97 Bn | 641.00 Mn | 166.00 Mn |
| 8 | Axon Enterprise | 31.65 Bn | 26.18 Bn | 546.45 Mn | 79.24 Mn |
| 9 | MongoDB | 29.46 Bn | 19.93 Bn | 569.77 Mn | 35.33 Mn |
| 10 | N-able | 902.60 Mn | 455.71 Mn | 106.20 Mn | 27.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.27 Mn |
| Mar 31, 2026 | 22.73 Mn |
| Dec 31, 2025 | 25.50 Mn |
| Sep 30, 2025 | 22.43 Mn |
| Jun 30, 2025 | 20.65 Mn |
| Mar 31, 2025 | 12.52 Mn |
| Dec 31, 2024 | 24.39 Mn |
| Sep 30, 2024 | 31.36 Mn |
| Jun 30, 2024 | 27.13 Mn |
| Mar 31, 2024 | 26.52 Mn |
| Dec 31, 2023 | 27.81 Mn |
| Sep 30, 2023 | 24.08 Mn |
| Jun 30, 2023 | 21.38 Mn |
| Mar 31, 2023 | 20.39 Mn |
| Dec 31, 2022 | 20.88 Mn |
| Sep 30, 2022 | 18.16 Mn |
| Jun 30, 2022 | 16.61 Mn |
| Mar 31, 2022 | 17.80 Mn |
| Dec 31, 2021 | 17.62 Mn |
| Sep 30, 2021 | 15.87 Mn |
N-able EBITDA 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=ebitda&ticker=NABL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=NABL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();