Owlet (OWLT) Selling, General & Administrative (2020 - 2026)
Owlet (OWLT) reported Selling, General & Administrative of $9.57 million for Q2 2026, up 36.3% from $7.02 million a year earlier and up 3.5% from the prior quarter.
Owlet (OWLT) Selling, General & Administrative (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Owlet's Selling, General & Administrative came in at $33.68 million, down 5.6% year-over-year; for FY2025, it came in at $28.95 million, down 14.7% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 17.1% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $33.94 million in FY2024 (+24.1%), $27.34 million in FY2023 (-34.2%), $41.55 million in FY2022 (+28.5%) and $32.34 million in FY2021 (+146.1%).
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative since Q4 2024.
- Year over year, Selling, General & Administrative gained in six of the last eight quarters, with growth averaging 22.9%.
- The high point for year-over-year Selling, General & Administrative in five years was Q3 2021 (growth of 191.5%); the low point was Q3 2023 (a decline of 43.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $9.25 million (Q1 2026), $8.62 million (Q4 2025) and $6.24 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.34 Bn | 23.01 Bn | 860.34 Mn | 130.11 Mn |
| 2 | Somnigroup International | 13.21 Bn | 12.76 Bn | 817.20 Mn | - |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn | 533.00 Mn |
| 4 | Newell Brands | 2.26 Bn | 1.42 Bn | 812.00 Mn | 519.00 Mn |
| 5 | Sonos | 2.10 Bn | 998.62 Mn | 189.31 Mn | 30.28 Mn |
| 6 | Whirlpool | 1.98 Bn | -1.50 Bn | 442.00 Mn | 371.00 Mn |
| 7 | Corsair Gaming | 1.50 Bn | 1.04 Bn | 104.29 Mn | 81.23 Mn |
| 8 | Arhaus | 1.40 Bn | 477.18 Mn | 172.07 Mn | 117.81 Mn |
| 9 | Millerknoll | 1.39 Bn | 748.41 Mn | 385.30 Mn | 302.50 Mn |
| 10 | Owlet | 144.93 Mn | 19.30 Mn | 21.82 Mn | 9.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.57 Mn |
| Mar 31, 2026 | 9.25 Mn |
| Dec 31, 2025 | 8.62 Mn |
| Sep 30, 2025 | 6.24 Mn |
| Jun 30, 2025 | 7.02 Mn |
| Mar 31, 2025 | 7.07 Mn |
| Dec 31, 2024 | 11.82 Mn |
| Sep 30, 2024 | 9.79 Mn |
| Jun 30, 2024 | 6.29 Mn |
| Mar 31, 2024 | 6.05 Mn |
| Dec 31, 2023 | 6.91 Mn |
| Sep 30, 2023 | 5.45 Mn |
| Jun 30, 2023 | 6.12 Mn |
| Mar 31, 2023 | 8.87 Mn |
| Dec 31, 2022 | 12.11 Mn |
| Sep 30, 2022 | 9.67 Mn |
| Jun 30, 2022 | 9.49 Mn |
| Mar 31, 2022 | 10.28 Mn |
| Dec 31, 2021 | 9.82 Mn |
| Sep 30, 2021 | 9.25 Mn |
Owlet 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=OWLT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "OWLT", "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=OWLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();