Agilysys (AGYS) Depreciation & Amortization - Total (2011 - 2026)
Agilysys' Depreciation & Amortization - Total was $826,000 in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 12.5% from $944,000 a year earlier and down 10.4% from the prior quarter.
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Analysis
Agilysys (AGYS) Depreciation & Amortization - Total (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Agilysys' Depreciation & Amortization - Total was $3.72 million through Jun 30, 2026, down 1.7% year-over-year; for FY2026 (ended Mar 31, 2026), it was $3.84 million, up 4.4% from FY2025.
- Depreciation & Amortization - Total shows a five-year compound annual growth rate of 6.3% (FY2021 to FY2026).
- In earlier fiscal years, Depreciation & Amortization - Total was $3.68 million in FY2025 (-5.6%), $3.9 million in FY2024 (+120.2%), $1.77 million in FY2023 (-20.0%) and $2.21 million in FY2022 (-22.0%).
- The fiscal Q1 2027 figure marks the lowest quarterly Depreciation & Amortization - Total since fiscal Q4 2023.
- Compared with a year earlier, Depreciation & Amortization - Total was higher in five of the last eight quarters, with an average year-over-year change of 0.0%.
- The best year-over-year quarter for Depreciation & Amortization - Total over five years was fiscal Q2 2024 (growth of 162.3%); the worst was fiscal Q4 2023 (a decline of 33.8%).
- Per Business Quant data, AGYS's Depreciation & Amortization - Total in the three fiscal quarters before Q1 2027 was $922,000 (Q4 2026), $1.01 million (Q3 2026) and $964,000 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | - |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | - |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | - |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | - |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | - |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | - |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | - |
| 10 | Agilysys | 2.74 Bn | 2.36 Bn | 55.66 Mn | 826,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 826,000.00 |
| Mar 31, 2026 | 922,000.00 |
| Dec 31, 2025 | 1.01 Mn |
| Sep 30, 2025 | 964,000.00 |
| Jun 30, 2025 | 944,000.00 |
| Mar 31, 2025 | 941,000.00 |
| Dec 31, 2024 | 985,000.00 |
| Sep 30, 2024 | 915,000.00 |
| Jun 30, 2024 | 838,000.00 |
| Mar 31, 2024 | 854,000.00 |
| Dec 31, 2023 | 909,000.00 |
| Sep 30, 2023 | 1.21 Mn |
| Jun 30, 2023 | 923,000.00 |
| Mar 31, 2023 | 398,000.00 |
| Dec 31, 2022 | 437,000.00 |
| Sep 30, 2022 | 461,000.00 |
| Jun 30, 2022 | 473,000.00 |
| Mar 31, 2022 | 601,000.00 |
| Dec 31, 2021 | 495,000.00 |
| Sep 30, 2021 | 548,000.00 |
API Access
Agilysys Depreciation & Amortization - Total 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-total&ticker=AGYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "ticker": "AGYS", "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-total&ticker=AGYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();