Mistras (MG) Depreciation and Depletion (2011 - 2026)
Mistras (MG) posted Depreciation and Depletion of $6.2 million for Q2 2026, up 1.6% from $6.1 million a year earlier and up 3.3% from the prior quarter.
Mistras (MG) Depreciation and Depletion (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation and Depletion at Mistras was $24.4 million, down 0.8% year-over-year; for FY2025, it was $24.3 million, down 4.0% from FY2024.
- Annual Depreciation and Depletion shows a five-year compound annual growth rate of -0.3% (FY2020 to FY2025).
- In prior years, Mistras' Depreciation and Depletion was $25.3 million in FY2024 (-1.2%), $25.6 million in FY2023 (+6.2%), $24.1 million in FY2022 (-4.4%) and $25.2 million in FY2021 (+2.0%).
- Quarterly Depreciation and Depletion has run from a low of $5.8 million in Q2 2022 to a high of $6.8 million in Q4 2021 over five years.
- On a year-over-year basis, Depreciation and Depletion increased in 1 of the last eight quarters, with an average decline of 3.3%.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q4 2023, with growth of 13.8%; the weakest was Q4 2022, with a decline of 14.7%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $6 million (Q1 2026), $6.2 million (Q4 2025) and $6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 141.87 Bn | 102.28 Bn | 6.13 Bn | 143.59 Mn |
| 2 | Cintas | 78.27 Bn | 77.46 Bn | 1.48 Bn | 81.60 Mn |
| 3 | Iron Mountain | 33.11 Bn | 32.63 Bn | 1.07 Bn | 202.85 Mn |
| 4 | APi | 17.29 Bn | 14.33 Bn | 703.00 Mn | 21.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.27 Bn | 569.95 Mn | - |
| 6 | Aramark | 14.39 Bn | 12.40 Bn | 430.34 Mn | - |
| 7 | UL Solutions | 13.43 Bn | 12.22 Bn | 417.00 Mn | - |
| 8 | Gartner | 12.17 Bn | 5.86 Bn | 1.19 Bn | 25.15 Mn |
| 9 | Rentokil Initial | 10.01 Bn | 3.35 Bn | - | - |
| 10 | Mistras | 657.14 Mn | 554.57 Mn | 56.45 Mn | 6.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.20 Mn |
| Mar 31, 2026 | 6.00 Mn |
| Dec 31, 2025 | 6.20 Mn |
| Sep 30, 2025 | 6.00 Mn |
| Jun 30, 2025 | 6.10 Mn |
| Mar 31, 2025 | 6.00 Mn |
| Dec 31, 2024 | 6.40 Mn |
| Sep 30, 2024 | 6.10 Mn |
| Jun 30, 2024 | 6.40 Mn |
| Mar 31, 2024 | 6.50 Mn |
| Dec 31, 2023 | 6.60 Mn |
| Sep 30, 2023 | 6.60 Mn |
| Jun 30, 2023 | 6.20 Mn |
| Mar 31, 2023 | 6.30 Mn |
| Dec 31, 2022 | 5.80 Mn |
| Sep 30, 2022 | 5.90 Mn |
| Jun 30, 2022 | 5.80 Mn |
| Mar 31, 2022 | 6.60 Mn |
| Dec 31, 2021 | 6.80 Mn |
| Sep 30, 2021 | 6.10 Mn |
Mistras Depreciation and Depletion 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=depreciation-and-depletion&ticker=MG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=MG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();