Healthy Extracts (HYEX) Selling, General & Administrative (2015 - 2026)
Healthy Extracts (HYEX) recorded Selling, General & Administrative of $1.5 million in Q2 2026, up 114.9% from $698,434 a year earlier.
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Analysis
Healthy Extracts (HYEX) Selling, General & Administrative (2015 - 2026) Analysis & Trends
On a TTM basis, Healthy Extracts' Selling, General & Administrative came in at $4.33 million as of Jun 30, 2026, up 83.8% year-over-year; for FY2025, it was $3.37 million, up 60.7% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 17.9% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $2.09 million in FY2024 (-45.8%), $3.87 million in FY2023 (+69.3%), $2.28 million in FY2022 (-11.7%) and $2.58 million in FY2021 (+75.2%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative since Q2 2023.
- On a year-over-year basis, Selling, General & Administrative rose in five of the last seven quarters, with growth averaging 40.4%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 114.9% in Q2 2026, against a decline of 67.7% in Q2 2024 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 336.76 Bn | 292.75 Bn | 10.28 Bn | 6.33 Bn |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn | 2.13 Bn |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn | 2.48 Bn |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn | 1.54 Bn |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn | 252.20 Mn |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn | 298.00 Mn |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn | 280.32 Mn |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn | 107.00 Mn |
| 10 | Healthy Extracts | 15.48 Mn | 14.75 Mn | 1.45 Mn | 1.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.50 Mn |
| Dec 31, 2025 | 1.23 Mn |
| Sep 30, 2025 | 907,363.00 |
| Jun 30, 2025 | 698,434.00 |
| Mar 31, 2025 | 533,833.00 |
| Dec 31, 2024 | 608,524.00 |
| Sep 30, 2024 | 517,068.00 |
| Jun 30, 2024 | 497,996.00 |
| Mar 31, 2024 | 470,431.00 |
| Dec 31, 2023 | 887,656.00 |
| Sep 30, 2023 | 754,026.00 |
| Jun 30, 2023 | 1.54 Mn |
| Mar 31, 2023 | 683,029.00 |
| Dec 31, 2022 | 538,781.00 |
| Sep 30, 2022 | 485,568.00 |
| Jun 30, 2022 | 888,401.00 |
| Mar 31, 2022 | 370,357.00 |
| Dec 31, 2021 | 710,398.00 |
| Sep 30, 2021 | 692,940.00 |
| Jun 30, 2021 | 464,831.00 |
API Access
Healthy Extracts 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=HYEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "HYEX", "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=HYEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();