N-able (NABL) Capital Expenditures (2020 - 2026)
N-able (NABL) reported Capital Expenditures of $9.81 million for Q2 2026, up 158.9% from $3.79 million a year earlier and up 481.4% from the prior quarter.
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Analysis
N-able (NABL) Capital Expenditures (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, N-able's Capital Expenditures came in at $22.56 million, up 25.6% year-over-year; for FY2025, it came in at $18.14 million, up 3.2% from FY2024.
- Capital Expenditures has increased for three consecutive years, with a five-year compound annual growth rate of 8.8% (FY2020 to FY2025).
- By year, Capital Expenditures came in at $17.57 million in FY2024 (+27.5%), $13.78 million in FY2023 (+7.4%), $12.83 million in FY2022 (-58.1%) and $30.66 million in FY2021 (+157.3%).
- The Q2 2026 figure ranks as the highest quarterly Capital Expenditures since Q4 2021.
- Year over year, Capital Expenditures gained in five of the last eight quarters, with growth averaging 35.6%.
- The high point for year-over-year Capital Expenditures in five years was Q3 2021 (growth of 193.7%); the low point was Q2 2022 (a decline of 73.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.69 million (Q1 2026), $4.48 million (Q4 2025) and $6.58 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | 103.00 Mn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | 124.41 Mn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | 78.00 Mn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | 7.55 Mn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | 9.89 Mn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | 1.00 Mn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | 21.05 Mn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | - |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | -1.68 Bn |
| 10 | N-able | 793.40 Mn | 346.51 Mn | 106.20 Mn | 9.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.81 Mn |
| Mar 31, 2026 | 1.69 Mn |
| Dec 31, 2025 | 4.48 Mn |
| Sep 30, 2025 | 6.58 Mn |
| Jun 30, 2025 | 3.79 Mn |
| Mar 31, 2025 | 3.29 Mn |
| Dec 31, 2024 | 7.15 Mn |
| Sep 30, 2024 | 3.74 Mn |
| Jun 30, 2024 | 3.24 Mn |
| Mar 31, 2024 | 3.44 Mn |
| Dec 31, 2023 | 3.29 Mn |
| Sep 30, 2023 | 3.52 Mn |
| Jun 30, 2023 | 3.57 Mn |
| Mar 31, 2023 | 3.40 Mn |
| Dec 31, 2022 | 3.14 Mn |
| Sep 30, 2022 | 4.26 Mn |
| Jun 30, 2022 | 2.72 Mn |
| Mar 31, 2022 | 2.70 Mn |
| Dec 31, 2021 | 11.26 Mn |
| Sep 30, 2021 | 6.65 Mn |
API Access
N-able Capital Expenditures 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=capital-expenditures&ticker=NABL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=NABL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();