Gorilla Technology (GRRR) Capital Expenditures (2024 - 2026)
Gorilla Technology (GRRR) recorded Capital Expenditures of -$14.1 million in Q2 2026, compared with -$90,940 a year earlier.
Gorilla Technology (GRRR) Capital Expenditures (2024 - 2026) Analysis & Trends
On a TTM basis, Gorilla Technology's Capital Expenditures came in at -$14.43 million as of Jun 30, 2026; for FY2025, it came in at -$615,498.
- Across earlier years, Capital Expenditures came in at -$542,559 in FY2024, -$297,357 in FY2023, -$2.94 million in FY2022 and -$7.5 million in FY2021.
- The Q2 2026 figure is the lowest quarterly Capital Expenditures in data going back to Q1 2024.
- Per Business Quant, the preceding three quarters came in at -$48,527 (Q1 2026), -$90,596 (Q4 2025) and -$196,069 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 265.98 Bn | 251.06 Bn | 2.30 Bn | 103.00 Mn |
| 2 | CrowdStrike Holdings | 231.16 Bn | 211.60 Bn | 1.10 Bn | 124.41 Mn |
| 3 | Snowflake | 104.28 Bn | 91.59 Bn | 1.04 Bn | 7.55 Mn |
| 4 | Fortinet | 90.77 Bn | 75.03 Bn | 1.64 Bn | 64.20 Mn |
| 5 | Datadog | 64.41 Bn | 44.95 Bn | 959.92 Mn | 10.87 Mn |
| 6 | Zscaler | 31.78 Bn | 17.94 Bn | 689.22 Mn | 199.84 Mn |
| 7 | Okta | 29.81 Bn | 21.96 Bn | 641.00 Mn | 1.00 Mn |
| 8 | Baidu | 27.12 Bn | -46.32 Bn | 1.80 Bn | -1.68 Bn |
| 9 | MongoDB | 26.74 Bn | 17.21 Bn | 569.77 Mn | 2.47 Mn |
| 10 | Gorilla Technology | 194.32 Mn | -4.29 Bn | -2.11 Mn | -14.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -14.10 Mn |
| Mar 31, 2026 | -48,527.00 |
| Dec 31, 2025 | 1.14 Mn |
| Sep 30, 2025 | -853,735.00 |
| Jun 30, 2025 | 566,726.00 |
| Mar 31, 2025 | -237,893.00 |
| Dec 31, 2024 | 1.02 Mn |
| Sep 30, 2024 | -838,511.00 |
| Jun 30, 2024 | 467,240.00 |
| Mar 31, 2024 | -104,144.00 |
Gorilla Technology Capital Expenditures 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=capital-expenditures&ticker=GRRR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "GRRR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=GRRR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();