N-able (NABL) Total Current Liabilities (2020 - 2026)
N-able's Total Current Liabilities came in at $162.36 million for Q2 2026, up 7.5% from $151.09 million a year earlier but down 4.3% from the prior quarter.
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Analysis
N-able (NABL) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, N-able's Total Current Liabilities was $184.24 million, up 22.8% from FY2024.
- Total Current Liabilities has increased in each of the last five years, with a five-year compound annual growth rate of 27.4% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $150.05 million in FY2024 (+83.6%), $81.72 million in FY2023 (+32.2%), $61.81 million in FY2022 (+1.5%) and $60.88 million in FY2021 (+11.0%).
- The five-year range for quarterly Total Current Liabilities is $56.06 million (Q1 2022) to $184.24 million (Q4 2025).
- Year-over-year, Total Current Liabilities has increased for 17 consecutive quarters, with growth averaging 49.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Current Liabilities ran from 1.4% in Q2 2022 to 108.3% in Q1 2025.
- Business Quant data shows NABL's Total Current Liabilities at $169.62 million (Q1 2026), $184.24 million (Q4 2025) and $158.36 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | 9.92 Bn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | 4.43 Bn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | 4.84 Bn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | 3.72 Bn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | 1.87 Bn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | 2.03 Bn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | 1.40 Bn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | 2.96 Bn |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | 13.13 Bn |
| 10 | N-able | 793.40 Mn | 346.51 Mn | 106.20 Mn | 162.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 162.36 Mn |
| Mar 31, 2026 | 169.62 Mn |
| Dec 31, 2025 | 184.24 Mn |
| Sep 30, 2025 | 158.36 Mn |
| Jun 30, 2025 | 151.09 Mn |
| Mar 31, 2025 | 153.67 Mn |
| Dec 31, 2024 | 150.05 Mn |
| Sep 30, 2024 | 93.78 Mn |
| Jun 30, 2024 | 84.97 Mn |
| Mar 31, 2024 | 73.76 Mn |
| Dec 31, 2023 | 81.72 Mn |
| Sep 30, 2023 | 79.63 Mn |
| Jun 30, 2023 | 73.62 Mn |
| Mar 31, 2023 | 63.85 Mn |
| Dec 31, 2022 | 61.81 Mn |
| Sep 30, 2022 | 59.42 Mn |
| Jun 30, 2022 | 58.48 Mn |
| Mar 31, 2022 | 56.06 Mn |
| Dec 31, 2021 | 60.88 Mn |
| Sep 30, 2021 | 57.96 Mn |
API Access
N-able Total Current 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-current-liabilities&ticker=NABL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=NABL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();