N-able (NABL) Total Liabilities (2020 - 2026)
N-able (NABL) recorded Total Liabilities of $590.9 million in Q2 2026, up 2.2% from $578.07 million a year earlier but down 1.3% from the prior quarter.
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Analysis
N-able (NABL) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, N-able reported Total Liabilities of $607.67 million, up 4.9% from FY2024.
- Annual Total Liabilities has increased for three straight years, with a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $579.51 million in FY2024 (+28.5%), $450.86 million in FY2023 (+3.3%), $436.62 million in FY2022 (-0.2%) and $437.34 million in FY2021 (-2.5%).
- Quarterly Total Liabilities has ranged from $431.6 million in Q1 2022 to $607.67 million in Q4 2025 over the past five years.
- On a year-over-year basis, Total Liabilities has increased for 14 consecutive quarters, with growth averaging 16.1% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 30.9% in Q1 2025, against a decline of 2.5% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $598.7 million (Q1 2026), $607.67 million (Q4 2025) and $584.67 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | 2.17 Bn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | 3.81 Bn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | 5.27 Bn |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | 27.69 Bn |
| 10 | N-able | 793.40 Mn | 346.51 Mn | 106.20 Mn | 590.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 590.90 Mn |
| Mar 31, 2026 | 598.70 Mn |
| Dec 31, 2025 | 607.67 Mn |
| Sep 30, 2025 | 584.67 Mn |
| Jun 30, 2025 | 578.07 Mn |
| Mar 31, 2025 | 577.10 Mn |
| Dec 31, 2024 | 579.51 Mn |
| Sep 30, 2024 | 458.51 Mn |
| Jun 30, 2024 | 450.29 Mn |
| Mar 31, 2024 | 440.87 Mn |
| Dec 31, 2023 | 450.86 Mn |
| Sep 30, 2023 | 447.98 Mn |
| Jun 30, 2023 | 444.13 Mn |
| Mar 31, 2023 | 436.38 Mn |
| Dec 31, 2022 | 436.62 Mn |
| Sep 30, 2022 | 437.32 Mn |
| Jun 30, 2022 | 432.78 Mn |
| Mar 31, 2022 | 431.60 Mn |
| Dec 31, 2021 | 437.34 Mn |
| Sep 30, 2021 | 444.66 Mn |
API Access
N-able Total Liabilities 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=total-liabilities&ticker=NABL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=NABL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();