Gitlab (GTLB) Total Non-Current Liabilities (2021 - 2026)
Gitlab's Total Non-Current Liabilities was $683.14 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 18.0% from $579.11 million a year earlier and up 2.4% from the prior quarter.
Gitlab (GTLB) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Total Non-Current Liabilities at Gitlab came in at $679.14 million, up 18.9% from FY2025.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 3.1% (FY2021 to FY2026).
- In earlier fiscal years, Total Non-Current Liabilities was $571.4 million in FY2025 (-18.5%), $700.95 million in FY2024 (+103.2%), $344.88 million in FY2023 (+21.8%) and $283.06 million in FY2022 (-51.4%).
- The fiscal Q2 2027 figure marks the highest quarterly Total Non-Current Liabilities since fiscal Q2 2025.
- Compared with a year earlier, Total Non-Current Liabilities has increased for four straight quarters, with growth averaging 0.1% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q3 2024 (growth of 107.5%); the worst was fiscal Q4 2022 (a decline of 51.4%).
- Per Business Quant data, GTLB's Total Non-Current Liabilities in the three fiscal quarters before Q2 2027 was $667.04 million (Q1 2027), $679.14 million (Q4 2026) and $594.79 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 2.11 Bn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 3.68 Bn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 5.20 Bn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 12.63 Bn |
| 10 | Gitlab | 7.85 Bn | 2.82 Bn | 240.62 Mn | 683.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 683.14 Mn |
| Apr 30, 2026 | 667.04 Mn |
| Jan 31, 2026 | 679.14 Mn |
| Oct 31, 2025 | 594.79 Mn |
| Jul 31, 2025 | 579.11 Mn |
| Apr 30, 2025 | 582.36 Mn |
| Jan 31, 2025 | 571.40 Mn |
| Oct 31, 2024 | 491.44 Mn |
| Jul 31, 2024 | 693.76 Mn |
| Apr 30, 2024 | 701.76 Mn |
| Jan 31, 2024 | 700.95 Mn |
| Oct 31, 2023 | 608.94 Mn |
| Jul 31, 2023 | 347.06 Mn |
| Apr 30, 2023 | 339.10 Mn |
| Jan 31, 2023 | 344.88 Mn |
| Oct 31, 2022 | 293.43 Mn |
| Jul 31, 2022 | 271.11 Mn |
| Apr 30, 2022 | 262.54 Mn |
| Jan 31, 2022 | 283.06 Mn |
| Oct 31, 2021 | 206.48 Mn |
Gitlab 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=GTLB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "GTLB", "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=GTLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();