Gitlab (GTLB) Prepaid Assets (2021 - 2026)
Gitlab (GTLB) posted Prepaid Assets of $41.14 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 8.5% from $37.91 million a year earlier but down 3.2% from the prior quarter.
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Analysis
Gitlab (GTLB) Prepaid Assets (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Gitlab's Prepaid Assets came in at $48.9 million, up 21.0% from FY2025.
- Annual Prepaid Assets shows a five-year compound annual growth rate of 46.3% (FY2021 to FY2026).
- In prior fiscal years, Gitlab's Prepaid Assets was $40.41 million in FY2025 (-17.8%), $49.14 million in FY2024 (+102.0%), $24.33 million in FY2023 (+56.5%) and $15.54 million in FY2022 (+113.2%).
- Quarterly Prepaid Assets has run from a low of $10.75 million in fiscal Q3 2022 to a high of $49.14 million in fiscal Q4 2024 over five years.
- On a year-over-year basis, Prepaid Assets has increased in each of the last six quarters, with growth averaging 12.1% over the last eight quarters.
- The strongest year-over-year quarter for Prepaid Assets in the past five years was fiscal Q4 2022, with growth of 113.2%; the weakest was fiscal Q4 2025, with a decline of 17.8%.
- According to Business Quant data, Prepaid Assets for the three prior fiscal quarters was $42.48 million (Q1 2027), $48.9 million (Q4 2026) and $44.98 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn |
| 10 | Gitlab | 7.85 Bn | 2.82 Bn | 240.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 41.14 Mn |
| Apr 30, 2026 | 42.48 Mn |
| Jan 31, 2026 | 48.90 Mn |
| Oct 31, 2025 | 44.98 Mn |
| Jul 31, 2025 | 37.91 Mn |
| Apr 30, 2025 | 39.07 Mn |
| Jan 31, 2025 | 40.41 Mn |
| Oct 31, 2024 | 43.12 Mn |
| Jul 31, 2024 | 32.41 Mn |
| Apr 30, 2024 | 35.32 Mn |
| Jan 31, 2024 | 49.14 Mn |
| Oct 31, 2023 | 29.89 Mn |
| Jul 31, 2023 | 26.05 Mn |
| Apr 30, 2023 | 26.41 Mn |
| Jan 31, 2023 | 24.33 Mn |
| Oct 31, 2022 | 20.45 Mn |
| Jul 31, 2022 | 20.81 Mn |
| Apr 30, 2022 | 17.54 Mn |
| Jan 31, 2022 | 15.54 Mn |
| Oct 31, 2021 | 10.75 Mn |
API Access
Gitlab Prepaid Assets 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=prepaid-assets&ticker=GTLB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=GTLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();