SailPoint (SAIL) Total Non-Current Liabilities (2025 - 2026)
SailPoint (SAIL) posted Total Non-Current Liabilities of $696.73 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 13.4% from $614.4 million a year earlier and up 4.0% from the prior quarter.
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Analysis
SailPoint (SAIL) Total Non-Current Liabilities (2025 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), SailPoint's Total Non-Current Liabilities came in at $738.6 million, down 94.3% from FY2025.
- In prior fiscal years, SailPoint's Total Non-Current Liabilities was $12.97 billion in FY2025.
- Quarterly Total Non-Current Liabilities has run from a low of $614.4 million in fiscal Q2 2026 to a high of $12.97 billion in fiscal Q4 2025 over five years.
- According to Business Quant data, Total Non-Current Liabilities for the three prior fiscal quarters was $670.16 million (Q1 2027), $738.6 million (Q4 2026) and $631.16 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 300.92 Bn | 285.99 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 273.31 Bn | 253.72 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 135.52 Bn | 121.45 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 117.93 Bn | 105.24 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 100.03 Bn | 81.67 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Zscaler | 41.64 Bn | 27.76 Bn | - | 5.20 Bn |
| 7 | Okta | 39.41 Bn | 29.50 Bn | 641.00 Mn | 2.11 Bn |
| 8 | Axon Enterprise | 34.32 Bn | 28.84 Bn | 546.45 Mn | 3.62 Bn |
| 9 | MongoDB | 31.39 Bn | 21.86 Bn | 569.77 Mn | 770.18 Mn |
| 10 | SailPoint | 12.72 Bn | 11.37 Bn | 205.39 Mn | 696.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 696.73 Mn |
| Apr 30, 2026 | 670.16 Mn |
| Jan 31, 2026 | 738.60 Mn |
| Oct 31, 2025 | 631.16 Mn |
| Jul 31, 2025 | 614.40 Mn |
| Apr 30, 2025 | 620.04 Mn |
| Jan 31, 2025 | 12.97 Bn |
API Access
SailPoint Total Non-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-non-current-liabilities&ticker=SAIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "SAIL", "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-non-current-liabilities&ticker=SAIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();