Agilysys (AGYS) Pension (2019 - 2024)
Agilysys' Pension was $4.57 million in fiscal Q1 2025 (quarter ended Jun 30, 2024), up 50.3% from $3.04 million a year earlier and up 5.9% from the prior quarter.
Agilysys (AGYS) Pension (2019 - 2024) Analysis & Trends
At the end of FY2024 (ended Mar 31, 2024), Pension at Agilysys came in at $4.32 million, up 57.4% from FY2023.
- Pension shows a five-year compound annual growth rate of 54.8% (FY2019 to FY2024).
- In earlier fiscal years, Pension was $2.74 million in FY2023 (+34.6%), $2.04 million in FY2022 (-18.0%), $2.49 million in FY2021 (+386.3%) and $511,000 in FY2020 (+5.1%).
- The fiscal Q1 2025 figure marks the highest quarterly Pension in data going back to fiscal Q4 2019.
- Compared with a year earlier, Pension has increased for seven straight quarters, with growth averaging 30.3% over the last eight quarters.
- The best year-over-year quarter for Pension over five years was fiscal Q3 2021 (growth of 425.4%); the worst was fiscal Q4 2022 (a decline of 18.0%).
- Per Business Quant data, AGYS's Pension in the three fiscal quarters before Q1 2025 was $4.32 million (Q4 2024), $3.84 million (Q3 2024) and $3.57 million (Q2 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 4.57 Mn |
| Mar 31, 2024 | 4.32 Mn |
| Dec 31, 2023 | 3.84 Mn |
| Sep 30, 2023 | 3.57 Mn |
| Jun 30, 2023 | 3.04 Mn |
| Mar 31, 2023 | 2.74 Mn |
| Dec 31, 2022 | 2.64 Mn |
| Sep 30, 2022 | 2.55 Mn |
| Jun 30, 2022 | 2.52 Mn |
| Mar 31, 2022 | 2.04 Mn |
| Dec 31, 2021 | 2.39 Mn |
| Sep 30, 2021 | 3.07 Mn |
| Jun 30, 2021 | 2.80 Mn |
| Mar 31, 2021 | 2.49 Mn |
| Dec 31, 2020 | 1.47 Mn |
| Sep 30, 2020 | 1.08 Mn |
| Jun 30, 2020 | 1.43 Mn |
| Mar 31, 2020 | 511,000.00 |
| Dec 31, 2019 | 279,000.00 |
| Mar 31, 2019 | 486,000.00 |
Agilysys Pension 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=pension&ticker=AGYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=AGYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();