Mistras (MG) Depreciation & Amortization (CF) (2010 - 2026)
Mistras (MG) reported Depreciation & Amortization (CF) of $8.27 million for Q2 2026, up 7.3% from $7.71 million a year earlier and up 3.6% from the prior quarter.
Mistras (MG) Depreciation & Amortization (CF) (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Mistras' Depreciation & Amortization (CF) came in at $31.79 million, down 0.1% year-over-year; for FY2025, it came in at $31.01 million, down 6.1% from FY2024.
- Depreciation & Amortization (CF) has a five-year compound annual growth rate of -2.8% (FY2020 to FY2025).
- By year, Depreciation & Amortization (CF) came in at $33.01 million in FY2024 (-3.2%), $34.1 million in FY2023 (+2.4%), $33.29 million in FY2022 (-4.7%) and $34.92 million in FY2021 (-2.2%).
- The Q2 2026 figure ranks as the highest quarterly Depreciation & Amortization (CF) since Q4 2024.
- Year over year, Depreciation & Amortization (CF) gained in two of the last eight quarters, with an average decline of 3.2%.
- The high point for year-over-year Depreciation & Amortization (CF) in five years was Q2 2026 (growth of 7.3%); the low point was Q4 2022 (a decline of 11.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.98 million (Q1 2026), $7.85 million (Q4 2025) and $7.69 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 584.58 Mn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 81.60 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 202.85 Mn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 21.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 33.61 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 136.10 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 46.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 45.18 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Mistras | 671.16 Mn | 568.58 Mn | 56.45 Mn | 8.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.27 Mn |
| Mar 31, 2026 | 7.98 Mn |
| Dec 31, 2025 | 7.85 Mn |
| Sep 30, 2025 | 7.69 Mn |
| Jun 30, 2025 | 7.71 Mn |
| Mar 31, 2025 | 7.76 Mn |
| Dec 31, 2024 | 8.28 Mn |
| Sep 30, 2024 | 8.06 Mn |
| Jun 30, 2024 | 8.29 Mn |
| Mar 31, 2024 | 8.38 Mn |
| Dec 31, 2023 | 8.63 Mn |
| Sep 30, 2023 | 8.75 Mn |
| Jun 30, 2023 | 8.31 Mn |
| Mar 31, 2023 | 8.41 Mn |
| Dec 31, 2022 | 8.16 Mn |
| Sep 30, 2022 | 8.20 Mn |
| Jun 30, 2022 | 8.13 Mn |
| Mar 31, 2022 | 8.81 Mn |
| Dec 31, 2021 | 9.22 Mn |
| Sep 30, 2021 | 8.51 Mn |
Mistras Depreciation & Amortization (CF) 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-amortization-cf&ticker=MG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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-amortization-cf&ticker=MG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();