Gitlab (GTLB) Cash & Equivalents (2021 - 2026)
Gitlab (GTLB) recorded Cash & Equivalents of $226.49 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 13.3% from $261.37 million a year earlier and down 32.5% from the prior quarter.
Gitlab (GTLB) Cash & Equivalents (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Gitlab reported Cash & Equivalents of $229.58 million, up 0.8% from FY2025.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -4.1% (FY2021 to FY2026).
- Across earlier fiscal years, Cash & Equivalents came in at $227.65 million in FY2025 (-21.0%), $288 million in FY2024 (-2.5%), $295.4 million in FY2023 (-66.6%) and $884.67 million in FY2022 (+212.8%).
- Quarterly Cash & Equivalents has ranged from $176.63 million in fiscal Q3 2025 to $887.49 million in fiscal Q1 2023 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in three of the last eight quarters, with an average decline of 11.6%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 226.0% in fiscal Q1 2023, against a decline of 66.6% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $335.4 million (Q1 2027), $229.58 million (Q4 2026) and $224.23 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 2.51 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 5.01 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 2.93 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 1.71 Bn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 434.96 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 763.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 597.70 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | 928.35 Mn |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 1.00 Bn |
| 10 | Gitlab | 8.27 Bn | 3.24 Bn | 240.62 Mn | 226.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 226.49 Mn |
| Apr 30, 2026 | 335.40 Mn |
| Jan 31, 2026 | 229.58 Mn |
| Oct 31, 2025 | 224.23 Mn |
| Jul 31, 2025 | 261.37 Mn |
| Apr 30, 2025 | 255.72 Mn |
| Jan 31, 2025 | 227.65 Mn |
| Oct 31, 2024 | 176.63 Mn |
| Jul 31, 2024 | 438.62 Mn |
| Apr 30, 2024 | 420.32 Mn |
| Jan 31, 2024 | 288.00 Mn |
| Oct 31, 2023 | 285.31 Mn |
| Jul 31, 2023 | 273.23 Mn |
| Apr 30, 2023 | 315.93 Mn |
| Jan 31, 2023 | 295.40 Mn |
| Oct 31, 2022 | 372.17 Mn |
| Jul 31, 2022 | 410.76 Mn |
| Apr 30, 2022 | 887.49 Mn |
| Jan 31, 2022 | 884.67 Mn |
| Oct 31, 2021 | 824.71 Mn |
Gitlab Cash & Equivalents 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=cash-and-equivalents&ticker=GTLB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GTLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();