Gitlab (GTLB) Property, Plant & Equipment (Net) (2022 - 2026)
Gitlab's Property, Plant & Equipment (Net) came in at $11.09 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 45.2% from $7.64 million a year earlier but down 13.2% from the prior quarter.
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Analysis
Gitlab (GTLB) Property, Plant & Equipment (Net) (2022 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Gitlab's Property, Plant & Equipment (Net) was $11.82 million, up 194.4% from FY2025.
- Property, Plant & Equipment (Net) carries a four-year compound annual growth rate of 37.9% (FY2022 to FY2026).
- Going back by fiscal year, Property, Plant & Equipment (Net) was $4.01 million in FY2025 (+35.8%), $2.95 million in FY2024 (-49.0%), $5.8 million in FY2023 (+77.2%) and $3.27 million in FY2022.
- The five-year range for quarterly Property, Plant & Equipment (Net) is $2.82 million (fiscal Q1 2025) to $12.78 million (fiscal Q1 2027).
- Year-over-year, Property, Plant & Equipment (Net) has increased for seven consecutive quarters, with growth averaging 107.1% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in fiscal Q4 2026 (growth of 194.4%), and the weakest in fiscal Q4 2024 (a decline of 49.0%).
- Business Quant data shows GTLB's Property, Plant & Equipment (Net) at $12.78 million (Q1 2027), $11.82 million (Q4 2026) and $10.19 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 523.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 1.17 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 1.70 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 207.98 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 409.63 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 33.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 341.51 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | 753.00 Mn |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 38.99 Mn |
| 10 | Gitlab | 8.27 Bn | 3.24 Bn | 240.62 Mn | 11.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 11.09 Mn |
| Apr 30, 2026 | 12.78 Mn |
| Jan 31, 2026 | 11.82 Mn |
| Oct 31, 2025 | 10.19 Mn |
| Jul 31, 2025 | 7.64 Mn |
| Apr 30, 2025 | 4.86 Mn |
| Jan 31, 2025 | 4.01 Mn |
| Oct 31, 2024 | 3.56 Mn |
| Jul 31, 2024 | 2.90 Mn |
| Apr 30, 2024 | 2.82 Mn |
| Jan 31, 2024 | 2.95 Mn |
| Oct 31, 2023 | 3.69 Mn |
| Jul 31, 2023 | 4.08 Mn |
| Apr 30, 2023 | 4.94 Mn |
| Jan 31, 2023 | 5.80 Mn |
| Oct 31, 2022 | 5.56 Mn |
| Jul 31, 2022 | 5.46 Mn |
| Apr 30, 2022 | 4.35 Mn |
| Jan 31, 2022 | 3.27 Mn |
API Access
Gitlab Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=GTLB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=GTLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();