Gitlab (GTLB) Total Current Liabilities (2021 - 2026)
Gitlab's Total Current Liabilities was $662.31 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 19.7% from $553.36 million a year earlier and up 3.0% from the prior quarter.
Gitlab (GTLB) Total Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Total Current Liabilities at Gitlab came in at $652.14 million, up 19.7% from FY2025.
- Total Current Liabilities shows a five-year compound annual growth rate of 38.7% (FY2021 to FY2026).
- In earlier fiscal years, Total Current Liabilities was $545.03 million in FY2025 (-19.5%), $677.16 million in FY2024 (+121.1%), $306.3 million in FY2023 (+26.8%) and $241.6 million in FY2022 (+90.0%).
- The fiscal Q2 2027 figure marks the highest quarterly Total Current Liabilities since fiscal Q2 2025.
- Compared with a year earlier, Total Current Liabilities has increased for four straight quarters, with growth averaging 0.2% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was fiscal Q3 2024 (growth of 121.5%); the worst was fiscal Q3 2025 (a decline of 20.7%).
- Per Business Quant data, GTLB's Total Current Liabilities in the three fiscal quarters before Q2 2027 was $643.05 million (Q1 2027), $652.14 million (Q4 2026) and $565.81 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 9.92 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 4.43 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 4.84 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 3.72 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 1.87 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.40 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.03 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 2.96 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 13.13 Bn |
| 10 | Gitlab | 7.68 Bn | 2.65 Bn | 240.62 Mn | 662.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 662.31 Mn |
| Apr 30, 2026 | 643.05 Mn |
| Jan 31, 2026 | 652.14 Mn |
| Oct 31, 2025 | 565.81 Mn |
| Jul 31, 2025 | 553.36 Mn |
| Apr 30, 2025 | 556.38 Mn |
| Jan 31, 2025 | 545.03 Mn |
| Oct 31, 2024 | 464.50 Mn |
| Jul 31, 2024 | 666.85 Mn |
| Apr 30, 2024 | 674.54 Mn |
| Jan 31, 2024 | 677.16 Mn |
| Oct 31, 2023 | 585.92 Mn |
| Jul 31, 2023 | 321.20 Mn |
| Apr 30, 2023 | 311.05 Mn |
| Jan 31, 2023 | 306.30 Mn |
| Oct 31, 2022 | 264.48 Mn |
| Jul 31, 2022 | 246.70 Mn |
| Apr 30, 2022 | 234.60 Mn |
| Jan 31, 2022 | 241.60 Mn |
| Oct 31, 2021 | 178.89 Mn |
Gitlab 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=GTLB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=GTLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();