N-able (NABL) Research & Development (2020 - 2026)
N-able's Research & Development was $26.63 million in Q2 2026, up 1.1% from $26.34 million a year earlier and up 1.9% from the prior quarter.
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Analysis
N-able (NABL) Research & Development (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, N-able's Research & Development was $103.26 million through Jun 30, 2026, up 7.0% year-over-year; for FY2025, it was $100.71 million, up 11.0% from FY2024.
- Research & Development has now increased for six consecutive years, with a five-year compound annual growth rate of 18.7% (FY2020 to FY2025).
- In earlier years, Research & Development was $90.71 million in FY2024 (+16.0%), $78.18 million in FY2023 (+23.1%), $63.48 million in FY2022 (+17.7%) and $53.96 million in FY2021 (+26.3%).
- The Q2 2026 figure marks the highest quarterly Research & Development in data going back to Q2 2020.
- Compared with a year earlier, Research & Development has increased for 21 straight quarters, with growth averaging 11.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Research & Development ran from 1.1% in Q2 2026 to 40.7% in Q3 2021.
- Per Business Quant data, NABL's Research & Development in the three quarters before Q2 2026 was $26.14 million (Q1 2026), $25.31 million (Q4 2025) and $25.19 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | 779.00 Mn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | 444.20 Mn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | 225.00 Mn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | 567.48 Mn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | 477.97 Mn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | 163.00 Mn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | 208.69 Mn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | - |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | 679.00 Mn |
| 10 | N-able | 793.40 Mn | 346.51 Mn | 106.20 Mn | 26.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.63 Mn |
| Mar 31, 2026 | 26.14 Mn |
| Dec 31, 2025 | 25.31 Mn |
| Sep 30, 2025 | 25.19 Mn |
| Jun 30, 2025 | 26.34 Mn |
| Mar 31, 2025 | 23.88 Mn |
| Dec 31, 2024 | 23.25 Mn |
| Sep 30, 2024 | 23.00 Mn |
| Jun 30, 2024 | 22.39 Mn |
| Mar 31, 2024 | 22.08 Mn |
| Dec 31, 2023 | 19.38 Mn |
| Sep 30, 2023 | 19.75 Mn |
| Jun 30, 2023 | 20.23 Mn |
| Mar 31, 2023 | 18.81 Mn |
| Dec 31, 2022 | 16.82 Mn |
| Sep 30, 2022 | 16.04 Mn |
| Jun 30, 2022 | 15.24 Mn |
| Mar 31, 2022 | 15.39 Mn |
| Dec 31, 2021 | 14.77 Mn |
| Sep 30, 2021 | 14.65 Mn |
API Access
N-able Research & Development 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=research-and-development&ticker=NABL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=NABL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();