Gitlab (GTLB) Research & Development (2020 - 2026)
Gitlab (GTLB) recorded Research & Development of $94.98 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 32.9% from $71.49 million a year earlier and up 32.9% from the prior quarter.
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Analysis
Gitlab (GTLB) Research & Development (2020 - 2026) Analysis & Trends
On a TTM basis, Gitlab's Research & Development came in at $304.14 million as of Jul 31, 2026, up 16.5% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $274.57 million, up 14.6% from FY2025.
- Annual Research & Development has increased for four straight fiscal years, with a five-year compound annual growth rate of 20.8% (FY2021 to FY2026).
- Across earlier fiscal years, Research & Development came in at $239.65 million in FY2025 (+19.3%), $200.84 million in FY2024 (+28.6%), $156.14 million in FY2023 (+60.6%) and $97.22 million in FY2022 (-8.8%).
- The fiscal Q2 2027 figure is the highest quarterly Research & Development in data going back to fiscal Q3 2021.
- On a year-over-year basis, Research & Development has increased for 18 consecutive quarters, with growth averaging 18.3% over the last eight quarters.
- Peak year-over-year performance for Research & Development in the last five years was growth of 74.8% in fiscal Q2 2023, against a decline of 41.3% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $71.48 million (Q1 2027), $68.96 million (Q4 2026) and $68.72 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 779.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 444.20 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 225.00 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 567.48 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 477.97 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 208.69 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 163.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 679.00 Mn |
| 10 | Gitlab | 7.68 Bn | 2.65 Bn | 240.62 Mn | 94.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 94.98 Mn |
| Apr 30, 2026 | 71.48 Mn |
| Jan 31, 2026 | 68.96 Mn |
| Oct 31, 2025 | 68.72 Mn |
| Jul 31, 2025 | 71.49 Mn |
| Apr 30, 2025 | 65.41 Mn |
| Jan 31, 2025 | 62.89 Mn |
| Oct 31, 2024 | 61.35 Mn |
| Jul 31, 2024 | 61.27 Mn |
| Apr 30, 2024 | 54.14 Mn |
| Jan 31, 2024 | 52.39 Mn |
| Oct 31, 2023 | 49.06 Mn |
| Jul 31, 2023 | 49.01 Mn |
| Apr 30, 2023 | 50.39 Mn |
| Jan 31, 2023 | 43.68 Mn |
| Oct 31, 2022 | 41.11 Mn |
| Jul 31, 2022 | 39.52 Mn |
| Apr 30, 2022 | 31.83 Mn |
| Jan 31, 2022 | 28.61 Mn |
| Oct 31, 2021 | 24.66 Mn |
API Access
Gitlab Research & Development 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=research-and-development&ticker=GTLB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=GTLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();