Mistras (MG) Selling, General & Administrative (2010 - 2026)
Mistras (MG) reported Selling, General & Administrative of $38.72 million for Q2 2026, down 2.7% from $39.79 million a year earlier but up 4.7% from the prior quarter.
Mistras (MG) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Mistras' Selling, General & Administrative came in at $140.14 million, up 1.2% year-over-year; for FY2025, it came in at $139.88 million, up 3.3% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of -2.3% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $135.45 million in FY2024 (-8.0%), $147.24 million in FY2023 (-11.5%), $166.4 million in FY2022 (+3.1%) and $161.33 million in FY2021 (+2.7%).
- Five-year quarterly Selling, General & Administrative spans a low of $23.4 million in Q4 2023 and a high of $42.86 million in Q4 2022.
- Year over year, Selling, General & Administrative gained in five of the last eight quarters, with growth averaging 3.2%.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2024 (growth of 27.4%); the low point was Q4 2023 (a decline of 45.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $36.99 million (Q1 2026), $30.95 million (Q4 2025) and $33.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 141.87 Bn | 102.28 Bn | 6.13 Bn | 1.15 Bn |
| 2 | Cintas | 78.27 Bn | 77.46 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.11 Bn | 32.63 Bn | 1.07 Bn | 402.34 Mn |
| 4 | APi | 17.29 Bn | 14.33 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.27 Bn | 569.95 Mn | 334.98 Mn |
| 6 | Aramark | 14.39 Bn | 12.40 Bn | 430.34 Mn | 78.63 Mn |
| 7 | UL Solutions | 13.43 Bn | 12.22 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 12.17 Bn | 5.86 Bn | 1.19 Bn | 764.59 Mn |
| 9 | Rentokil Initial | 10.01 Bn | 3.35 Bn | - | - |
| 10 | Mistras | 657.14 Mn | 554.57 Mn | 56.45 Mn | 38.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.72 Mn |
| Mar 31, 2026 | 36.99 Mn |
| Dec 31, 2025 | 30.95 Mn |
| Sep 30, 2025 | 33.48 Mn |
| Jun 30, 2025 | 39.79 Mn |
| Mar 31, 2025 | 35.65 Mn |
| Dec 31, 2024 | 29.82 Mn |
| Sep 30, 2024 | 33.20 Mn |
| Jun 30, 2024 | 36.18 Mn |
| Mar 31, 2024 | 36.25 Mn |
| Dec 31, 2023 | 23.40 Mn |
| Sep 30, 2023 | 39.54 Mn |
| Jun 30, 2023 | 41.48 Mn |
| Mar 31, 2023 | 42.82 Mn |
| Dec 31, 2022 | 42.86 Mn |
| Sep 30, 2022 | 40.77 Mn |
| Jun 30, 2022 | 40.86 Mn |
| Dec 31, 2021 | 42.76 Mn |
| Sep 30, 2021 | 39.22 Mn |
| Jun 30, 2021 | 39.72 Mn |
Mistras 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=MG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "MG", "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=MG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();