Gitlab (GTLB) Accumulated Expenses (2021 - 2026)
Gitlab (GTLB) recorded Accumulated Expenses of $51.58 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 1.5% from $52.34 million a year earlier and down 29.0% from the prior quarter.
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Analysis
Gitlab (GTLB) Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Gitlab reported Accumulated Expenses of $58.19 million, up 6.4% from FY2025.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 51.3% (FY2021 to FY2026).
- Across earlier fiscal years, Accumulated Expenses came in at $54.68 million in FY2025 (-81.8%), $301.26 million in FY2024, $25.95 million in FY2023 (+5.6%) and $24.57 million in FY2022 (+234.4%).
- The fiscal Q2 2027 figure is the lowest quarterly Accumulated Expenses since fiscal Q2 2024.
- On a year-over-year basis, Accumulated Expenses rose in three of the last eight quarters, with an average decline of 36.8%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 961.9% in fiscal Q1 2025, against a decline of 81.8% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $72.68 million (Q1 2027), $58.19 million (Q4 2026) and $58.41 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 322.94 Bn | 308.02 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 272.46 Bn | 252.90 Bn | 1.10 Bn |
| 3 | Fortinet | 131.11 Bn | 117.04 Bn | 1.64 Bn |
| 4 | Snowflake | 120.49 Bn | 107.81 Bn | 1.04 Bn |
| 5 | Datadog | 99.24 Bn | 80.88 Bn | 881.34 Mn |
| 6 | Okta | 35.54 Bn | 25.63 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.30 Bn | 28.82 Bn | 546.45 Mn |
| 8 | Zscaler | 32.41 Bn | 18.53 Bn | - |
| 9 | Baidu | 29.12 Bn | -44.51 Bn | 1.47 Mn |
| 10 | Gitlab | 8.30 Bn | 3.27 Bn | 240.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 51.58 Mn |
| Apr 30, 2026 | 72.68 Mn |
| Jan 31, 2026 | 58.19 Mn |
| Oct 31, 2025 | 58.41 Mn |
| Jul 31, 2025 | 52.34 Mn |
| Apr 30, 2025 | 66.31 Mn |
| Jan 31, 2025 | 54.68 Mn |
| Oct 31, 2024 | 51.82 Mn |
| Jul 31, 2024 | 272.16 Mn |
| Apr 30, 2024 | 306.73 Mn |
| Jan 31, 2024 | 301.26 Mn |
| Oct 31, 2023 | 269.98 Mn |
| Jul 31, 2023 | 24.64 Mn |
| Apr 30, 2023 | 28.89 Mn |
| Jan 31, 2023 | 25.95 Mn |
| Oct 31, 2022 | 23.75 Mn |
| Jul 31, 2022 | 24.47 Mn |
| Apr 30, 2022 | 29.17 Mn |
| Jan 31, 2022 | 24.57 Mn |
| Oct 31, 2021 | 9.57 Mn |
API Access
Gitlab Accumulated Expenses 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=accumulated-expenses&ticker=GTLB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=GTLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();