Gitlab (GTLB) Total Liabilities (2021 - 2026)
Gitlab (GTLB) posted Total Liabilities of $690.35 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 17.7% from $586.61 million a year earlier and up 2.4% from the prior quarter.
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Analysis
Gitlab (GTLB) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Gitlab's Total Liabilities came in at $686.5 million, up 18.8% from FY2025.
- Annual Total Liabilities shows a five-year compound annual growth rate of 2.9% (FY2021 to FY2026).
- In prior fiscal years, Gitlab's Total Liabilities was $577.96 million in FY2025 (-19.2%), $715.01 million in FY2024 (+101.6%), $354.7 million in FY2023 (+17.8%) and $301.06 million in FY2022 (-49.3%).
- The fiscal Q2 2027 figure stands as the highest quarterly Total Liabilities since fiscal Q2 2025.
- On a year-over-year basis, Total Liabilities has increased in each of the last four quarters, with an average decline of 0.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q3 2024, with growth of 107.4%; the weakest was fiscal Q4 2022, with a decline of 49.3%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $674.15 million (Q1 2027), $686.5 million (Q4 2026) and $602.84 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.81 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.17 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.27 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 27.69 Bn |
| 10 | Gitlab | 7.68 Bn | 2.65 Bn | 240.62 Mn | 690.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 690.35 Mn |
| Apr 30, 2026 | 674.15 Mn |
| Jan 31, 2026 | 686.50 Mn |
| Oct 31, 2025 | 602.84 Mn |
| Jul 31, 2025 | 586.61 Mn |
| Apr 30, 2025 | 589.39 Mn |
| Jan 31, 2025 | 577.96 Mn |
| Oct 31, 2024 | 495.21 Mn |
| Jul 31, 2024 | 700.44 Mn |
| Apr 30, 2024 | 719.23 Mn |
| Jan 31, 2024 | 715.01 Mn |
| Oct 31, 2023 | 633.71 Mn |
| Jul 31, 2023 | 357.83 Mn |
| Apr 30, 2023 | 348.51 Mn |
| Jan 31, 2023 | 354.70 Mn |
| Oct 31, 2022 | 305.55 Mn |
| Jul 31, 2022 | 285.10 Mn |
| Apr 30, 2022 | 280.75 Mn |
| Jan 31, 2022 | 301.06 Mn |
| Oct 31, 2021 | 219.40 Mn |
API Access
Gitlab Total 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-liabilities&ticker=GTLB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=GTLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();