SiriusPoint (SPNT) Selling, General & Administrative (2012 - 2020)
SiriusPoint (SPNT) posted Selling, General & Administrative of $16.51 million for Q4 2020, up 29.5% from $12.74 million a year earlier but down 22.6% from the prior quarter.
SiriusPoint (SPNT) Selling, General & Administrative (2012 - 2020) Analysis & Trends
For FY2020, SiriusPoint's Selling, General & Administrative came in at $61.44 million, up 14.3% from FY2019.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 5.9% (FY2015 to FY2020).
- In prior years, SiriusPoint's Selling, General & Administrative was $53.76 million in FY2019 (+48.3%), $36.24 million in FY2018 (-31.8%), $53.1 million in FY2017 (+34.9%) and $39.37 million in FY2016 (-14.5%).
- Quarterly Selling, General & Administrative has run from a low of $5.48 million in Q4 2016 to a high of $21.32 million in Q3 2020 over five years.
- On a year-over-year basis, Selling, General & Administrative increased in five of the last eight quarters, with growth averaging 38.6%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q4 2017, with growth of 160.8%; the weakest was Q4 2018, with a decline of 47.2%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $21.32 million (Q3 2020), $13.46 million (Q2 2020) and $10.16 million (Q1 2020).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,079.16 Bn | -338.32 Bn | 55.86 Bn | 6.72 Bn |
| 2 | Chubb | 127.75 Bn | 79.80 Bn | 9.13 Bn | 1.17 Bn |
| 3 | Progressive | 122.68 Bn | 98.52 Bn | 9.04 Bn | - |
| 4 | Marsh & Mclennan Companies | 82.15 Bn | 73.89 Bn | - | - |
| 5 | Travelers Companies | 75.41 Bn | 51.66 Bn | 6.23 Bn | 1.57 Bn |
| 6 | Manulife Financial | 72.51 Bn | 73.72 Bn | - | -902.21 Mn |
| 7 | Metlife | 60.18 Bn | -46.30 Bn | 7.82 Bn | - |
| 8 | Arthur J. Gallagher | 59.45 Bn | 53.89 Bn | - | - |
| 9 | Aon | 58.55 Bn | 51.79 Bn | - | - |
| 10 | SiriusPoint | 2.84 Bn | -288.81 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 16.51 Mn |
| Sep 30, 2020 | 21.32 Mn |
| Jun 30, 2020 | 13.46 Mn |
| Mar 31, 2020 | 10.16 Mn |
| Dec 31, 2019 | 12.74 Mn |
| Sep 30, 2019 | 9.24 Mn |
| Jun 30, 2019 | 19.65 Mn |
| Mar 31, 2019 | 12.13 Mn |
| Dec 31, 2018 | 7.55 Mn |
| Sep 30, 2018 | 9.51 Mn |
| Jun 30, 2018 | 9.70 Mn |
| Mar 31, 2018 | 9.48 Mn |
| Dec 31, 2017 | 14.30 Mn |
| Sep 30, 2017 | 13.22 Mn |
| Jun 30, 2017 | 15.01 Mn |
| Mar 31, 2017 | 10.57 Mn |
| Dec 31, 2016 | 5.48 Mn |
| Sep 30, 2016 | 12.35 Mn |
| Jun 30, 2016 | 10.24 Mn |
| Mar 31, 2016 | 11.29 Mn |
SiriusPoint Selling, General & Administrative 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=selling-general-and-administrative&ticker=SPNT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "SPNT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=SPNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();