N-able (NABL) Change in Accured Expenses (2020 - 2026)
N-able's Change in Accured Expenses came in at $4.48 million for Q2 2026, compared with -$1.78 million a year earlier.
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Analysis
N-able (NABL) Change in Accured Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, N-able reported Change in Accured Expenses of -$525,000; for FY2025, it came in at $4.27 million, up 577.6% from FY2024.
- Change in Accured Expenses carries a five-year compound annual growth rate of -11.7% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was $630,000 in FY2024 (-96.1%), $16.07 million in FY2023 (+435.0%), $3 million in FY2022 (-74.8%) and $11.92 million in FY2021 (+49.6%).
- The five-year range for quarterly Change in Accured Expenses is -$14.96 million (Q1 2026) to $8.23 million (Q2 2023).
- Year-over-year, Change in Accured Expenses increased in two of the last four quarters, with growth averaging 40.5%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q3 2025 (growth of 164.8%), and the weakest in Q4 2024 (a decline of 67.0%).
- Business Quant data shows NABL's Change in Accured Expenses at -$14.96 million (Q1 2026), $5.48 million (Q4 2025) and $4.47 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 369.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 72.38 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 75.10 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 108.85 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 6.98 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | -2.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 256.58 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 43.09 Mn |
| 10 | N-able | 800.96 Mn | 354.06 Mn | 106.20 Mn | 4.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.48 Mn |
| Mar 31, 2026 | -14.96 Mn |
| Dec 31, 2025 | 5.48 Mn |
| Sep 30, 2025 | 4.47 Mn |
| Jun 30, 2025 | -1.78 Mn |
| Mar 31, 2025 | -3.90 Mn |
| Dec 31, 2024 | 2.44 Mn |
| Sep 30, 2024 | 1.69 Mn |
| Jun 30, 2024 | 8.21 Mn |
| Mar 31, 2024 | -11.71 Mn |
| Dec 31, 2023 | 7.38 Mn |
| Sep 30, 2023 | 4.29 Mn |
| Jun 30, 2023 | 8.23 Mn |
| Mar 31, 2023 | -3.84 Mn |
| Dec 31, 2022 | -123,000.00 |
| Sep 30, 2022 | 4.95 Mn |
| Jun 30, 2022 | 3.12 Mn |
| Mar 31, 2022 | -4.95 Mn |
| Dec 31, 2021 | -723,000.00 |
| Sep 30, 2021 | 7.53 Mn |
API Access
N-able Change in Accured Expenses 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=change-in-accured-expenses&ticker=NABL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=NABL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();