Agilysys (AGYS) Price to Book (2011 - 2026)
Agilysys' (AGYS) Price to Book stood at 7.66 in fiscal Q2 2027 (quarter ended Sep 30, 2026), down 23.0% from 9.95 a year earlier and down 12.1% from the prior quarter.
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Analysis
Agilysys (AGYS) Price to Book (2011 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Agilysys' Price to Book came in at 6.13, down 19.8% from FY2025.
- Annual Price to Book has declined for three straight fiscal years.
- Across earlier fiscal years, Price to Book came in at 7.64 in FY2025 (-21.6%), 9.75 in FY2024 (-49.0%), 19.12 in FY2023 (+88.7%) and 10.13 in FY2022 (-29.7%).
- Quarterly Price to Book has ranged from 6.13 in fiscal Q4 2026 to 19.12 in fiscal Q4 2023 over the past five years.
- On a year-over-year basis, Price to Book has declined for seven consecutive quarters, with an average decline of 10.8% over the last eight quarters.
- Peak year-over-year performance for Price to Book in the last five years was growth of 88.7% in fiscal Q4 2023, against a decline of 49.0% in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 8.71 (Q1 2027), 6.13 (Q4 2026) and 10.66 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn |
| 10 | Agilysys | 3.40 Bn | 2.94 Bn | 60.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.66 |
| Jun 30, 2026 | 8.71 |
| Mar 31, 2026 | 6.13 |
| Dec 31, 2025 | 10.66 |
| Sep 30, 2025 | 9.95 |
| Jun 30, 2025 | 11.35 |
| Mar 31, 2025 | 7.64 |
| Dec 31, 2024 | 14.34 |
| Sep 30, 2024 | 11.70 |
| Jun 30, 2024 | 11.42 |
| Mar 31, 2024 | 9.75 |
| Dec 31, 2023 | 10.07 |
| Sep 30, 2023 | 14.39 |
| Jun 30, 2023 | 15.58 |
| Mar 31, 2023 | 19.12 |
| Dec 31, 2022 | 17.81 |
| Sep 30, 2022 | 13.01 |
| Jun 30, 2022 | 11.68 |
| Mar 31, 2022 | 10.13 |
| Dec 31, 2021 | 11.89 |
API Access
Agilysys Price to Book 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=price-to-book&ticker=AGYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=AGYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();