N-able (NABL) Cash & Equivalents (2020 - 2026)
N-able's Cash & Equivalents came in at $115.81 million for Q2 2026, up 23.4% from $93.87 million a year earlier but down 1.7% from the prior quarter.
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Analysis
N-able (NABL) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, N-able's Cash & Equivalents was $111.84 million, up 31.3% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of 2.3% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $85.2 million in FY2024 (-44.3%), $153.05 million in FY2023 (+54.8%), $98.85 million in FY2022 (+48.1%) and $66.74 million in FY2021 (-33.1%).
- The five-year range for quarterly Cash & Equivalents is $61.57 million (Q3 2021) to $174.45 million (Q3 2024).
- Year-over-year, Cash & Equivalents has increased for three consecutive quarters, with an average decline of 5.3% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q2 2022 (growth of 74.6%), and the weakest in Q4 2024 (a decline of 44.3%).
- Business Quant data shows NABL's Cash & Equivalents at $117.81 million (Q1 2026), $111.84 million (Q4 2025) and $101.44 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 322.94 Bn | 308.02 Bn | 2.30 Bn | 2.51 Bn |
| 2 | CrowdStrike Holdings | 272.46 Bn | 252.90 Bn | 1.10 Bn | 5.01 Bn |
| 3 | Fortinet | 131.11 Bn | 117.04 Bn | 1.64 Bn | 2.93 Bn |
| 4 | Snowflake | 120.49 Bn | 107.81 Bn | 1.04 Bn | 1.71 Bn |
| 5 | Datadog | 99.24 Bn | 80.88 Bn | 881.34 Mn | 434.96 Mn |
| 6 | Okta | 35.54 Bn | 25.63 Bn | 641.00 Mn | 763.00 Mn |
| 7 | Axon Enterprise | 34.30 Bn | 28.82 Bn | 546.45 Mn | 597.70 Mn |
| 8 | Zscaler | 32.41 Bn | 18.53 Bn | - | 928.35 Mn |
| 9 | Baidu | 29.12 Bn | -44.51 Bn | 1.47 Mn | 3.61 Bn |
| 10 | N-able | 817.96 Mn | 371.06 Mn | 106.20 Mn | 115.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 115.81 Mn |
| Mar 31, 2026 | 117.81 Mn |
| Dec 31, 2025 | 111.84 Mn |
| Sep 30, 2025 | 101.44 Mn |
| Jun 30, 2025 | 93.87 Mn |
| Mar 31, 2025 | 94.09 Mn |
| Dec 31, 2024 | 85.20 Mn |
| Sep 30, 2024 | 174.45 Mn |
| Jun 30, 2024 | 157.51 Mn |
| Mar 31, 2024 | 139.23 Mn |
| Dec 31, 2023 | 153.05 Mn |
| Sep 30, 2023 | 127.43 Mn |
| Jun 30, 2023 | 109.19 Mn |
| Mar 31, 2023 | 98.08 Mn |
| Dec 31, 2022 | 98.85 Mn |
| Sep 30, 2022 | 87.73 Mn |
| Jun 30, 2022 | 86.62 Mn |
| Mar 31, 2022 | 70.44 Mn |
| Dec 31, 2021 | 66.74 Mn |
| Sep 30, 2021 | 61.57 Mn |
API Access
N-able Cash & Equivalents 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=cash-and-equivalents&ticker=NABL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=NABL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();