SafeSpace Global (SSGC) EBITDA (2015 - 2026)
SafeSpace Global's EBITDA was -$3.49 million in fiscal Q3 2026 (quarter ended Apr 30, 2026).
SafeSpace Global (SSGC) EBITDA (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, SafeSpace Global's EBITDA was -$4.96 million through Apr 30, 2026; for FY2023 (ended Jul 31, 2023), it came in at -$944,683.
- In earlier fiscal years, EBITDA was -$1.13 million in FY2022, -$1.27 million in FY2021, -$1.01 million in FY2020 and -$774,376 in FY2019.
- The fiscal Q3 2026 figure marks the lowest quarterly EBITDA since fiscal Q3 2016.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 246.93 Bn | 232.00 Bn | 2.30 Bn | 693.00 Mn |
| 2 | CrowdStrike Holdings | 234.18 Bn | 214.58 Bn | 1.10 Bn | 170.34 Mn |
| 3 | Snowflake | 103.91 Bn | 91.22 Bn | 1.04 Bn | -134.60 Mn |
| 4 | Fortinet | 90.88 Bn | 75.13 Bn | 1.64 Bn | 843.00 Mn |
| 5 | Datadog | 65.40 Bn | 45.94 Bn | 959.92 Mn | 119.30 Mn |
| 6 | Okta | 31.82 Bn | 21.91 Bn | 641.00 Mn | 166.00 Mn |
| 7 | Zscaler | 31.77 Bn | 17.92 Bn | 689.22 Mn | 93.76 Mn |
| 8 | MongoDB | 27.02 Bn | 17.49 Bn | 569.77 Mn | 35.33 Mn |
| 9 | Axon Enterprise | 24.20 Bn | 18.73 Bn | 546.45 Mn | 79.24 Mn |
| 10 | SafeSpace Global | 11.37 Mn | -7.74 Mn | -28,013.00 | -3.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | -3.49 Mn |
| Jan 31, 2026 | -1.15 Mn |
| Oct 31, 2023 | -104,262.00 |
| Jul 31, 2023 | -213,901.00 |
| Apr 30, 2023 | -252,395.00 |
| Jan 31, 2023 | -148,187.00 |
| Oct 31, 2022 | -134,195.00 |
| Jul 31, 2022 | -127,374.00 |
| Apr 30, 2022 | -155,294.00 |
| Jan 31, 2022 | -221,403.00 |
| Oct 31, 2021 | -248,384.00 |
| Jul 31, 2021 | -296,577.00 |
| Apr 30, 2021 | -360,613.00 |
| Jan 31, 2021 | -292,266.00 |
| Oct 31, 2020 | -316,607.00 |
| Jul 31, 2020 | -335,800.00 |
| Apr 30, 2020 | -282,727.00 |
| Jan 31, 2020 | -218,692.00 |
| Oct 31, 2019 | -174,435.00 |
| Jul 31, 2019 | -156,636.00 |
SafeSpace Global EBITDA 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=ebitda&ticker=SSGC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "SSGC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=SSGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();