Sintx Technologies (SINT) Selling, General & Administrative (2013 - 2026)
Sintx Technologies (SINT) reported Selling, General & Administrative of $2.54 million for Q1 2026, up 92.2% from $1.32 million a year earlier and up 86.3% from the prior quarter.
Sintx Technologies (SINT) Selling, General & Administrative (2013 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Sintx Technologies' Selling, General & Administrative came in at $7.31 million, up 74.3% year-over-year; for FY2025, it was $6.2 million, up 55.0% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 14.6% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $4 million in FY2024 (-5.3%), $4.22 million in FY2023 (+5.8%), $3.99 million in FY2022 (+10.7%) and $3.6 million in FY2021 (+15.0%).
- The Q1 2026 figure ranks as the highest quarterly Selling, General & Administrative since Q3 2014.
- Year over year, Selling, General & Administrative has now increased in each of the last six quarters, with growth averaging 39.1% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q3 2025 (growth of 162.1%); the low point was Q3 2024 (a decline of 19.0%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $1.36 million (Q4 2025), $2.1 million (Q3 2025) and $1.31 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 2.32 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 4.27 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 2.16 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 633.40 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 3.20 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 2.31 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 1.68 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 560.90 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 1.26 Bn |
| 10 | Sintx Technologies | 10.67 Mn | -949,254.18 | 1.36 Mn | 2.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.25 Mn |
| Jun 30, 2026 | 2.32 Mn |
| Mar 31, 2026 | 2.54 Mn |
| Dec 31, 2025 | 1.36 Mn |
| Sep 30, 2025 | 2.10 Mn |
| Jun 30, 2025 | 1.31 Mn |
| Mar 31, 2025 | 1.32 Mn |
| Dec 31, 2024 | 1.00 Mn |
| Sep 30, 2024 | 802,000.00 |
| Jun 30, 2024 | 1.07 Mn |
| Mar 31, 2024 | 1.12 Mn |
| Dec 31, 2023 | 909,000.00 |
| Sep 30, 2023 | 990,000.00 |
| Jun 30, 2023 | 1.17 Mn |
| Mar 31, 2023 | 1.17 Mn |
| Dec 31, 2022 | 1.07 Mn |
| Sep 30, 2022 | 1.07 Mn |
| Jun 30, 2022 | 993,000.00 |
| Mar 31, 2022 | 856,000.00 |
| Dec 31, 2021 | 812,000.00 |
Sintx Technologies 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=SINT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "SINT", "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=SINT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();