i3 Verticals (IIIV) Gross Margin (2017 - 2020)
i3 Verticals' Gross Margin came in at 100.00% for FY2021 (year ended Sep 30, 2021), unchanged from 100.00% in FY2020.
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Analysis
i3 Verticals (IIIV) Gross Margin (2017 - 2020) Analysis & Trends
Going back to FY2016, i3 Verticals' Gross Margin data covers 6 fiscal years.
- Gross Margin carries a five-year change of +70.62 percentage points (FY2016 to FY2021).
- Per Business Quant, earlier fiscal years put Gross Margin at 100.00% in FY2020 (+64.54 pp), 35.46% in FY2019 (+1.78 pp), 33.68% in FY2018 (+5.71 pp) and 27.98% in FY2017 (-1.40 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 477.08 Bn | 446.03 Bn | 1.64 Bn | 84.66% |
| 2 | Oracle | 387.32 Bn | 259.45 Bn | - | - |
| 3 | Sap Se | 275.21 Bn | 202.61 Bn | 8.64 Bn | 73.13% |
| 4 | Salesforce | 197.49 Bn | 153.36 Bn | 8.70 Bn | 76.65% |
| 5 | ServiceNow | 159.67 Bn | 138.13 Bn | 2.82 Bn | 70.68% |
| 6 | Automatic Data Processing | 117.83 Bn | 99.96 Bn | 2.51 Bn | 45.88% |
| 7 | Intuit | 90.62 Bn | 69.97 Bn | 3.44 Bn | 79.10% |
| 8 | Relx | 71.51 Bn | 70.61 Bn | - | - |
| 9 | Thomson Reuters | 52.26 Bn | 49.05 Bn | - | - |
| 10 | i3 Verticals | 328.00 Mn | 214.02 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | 100.00% |
| Jun 30, 2020 | 100.00% |
| Mar 31, 2020 | 100.00% |
| Dec 31, 2019 | 100.00% |
| Sep 30, 2019 | 36.36% |
| Jun 30, 2019 | 35.10% |
| Mar 31, 2019 | 35.96% |
| Dec 31, 2018 | 34.22% |
| Sep 30, 2018 | 33.42% |
| Jun 30, 2018 | 34.10% |
| Mar 31, 2018 | 34.83% |
| Dec 31, 2017 | 32.35% |
| Sep 30, 2017 | 28.35% |
| Jun 30, 2017 | 26.78% |
API Access
i3 Verticals Gross Margin 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=gross-margin&ticker=IIIV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "ticker": "IIIV", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=gross-margin&ticker=IIIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();