Pineapple Financial (PAPL) Price to Book (2023 - 2026)
Pineapple Financial's (PAPL) Price to Book was 0.53 for the quarter ended May 31, 2026, down 12.3% from 0.60 a year earlier but up 26.7% from the prior quarter.
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Analysis
Pineapple Financial (PAPL) Price to Book (2023 - 2026) Analysis & Trends
For the year ended Aug 31, 2025, Price to Book at Pineapple Financial was 2.95, down 46.2% from the prior year.
- By year, Price to Book came in at 5.48 in the year ended Aug 31, 2024.
- Five-year quarterly Price to Book spans a low of 0.42 in the quarter ended Feb 28, 2026 and a high of 5.48 in the quarter ended Aug 31, 2024.
- Year over year, Price to Book gained in 1 of the last six quarters, with an average decline of 35.1%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rocket Companies | 43.94 Bn | 29.62 Bn | - |
| 2 | Orix | 41.70 Bn | 42.20 Bn | - |
| 3 | Royalty Pharma | 32.87 Bn | 32.78 Bn | - |
| 4 | Federal National Mortgage Association Fannie Mae | 25.52 Bn | 25.52 Bn | - |
| 5 | Affirm Holdings | 23.86 Bn | 17.55 Bn | - |
| 6 | Synchrony Financial | 23.33 Bn | -44.64 Bn | - |
| 7 | Royal Gold | 19.87 Bn | 19.09 Bn | 390.45 Mn |
| 8 | Annaly Capital Management | 13.89 Bn | 4.98 Bn | - |
| 9 | Ares Capital | 13.54 Bn | 10.98 Bn | - |
| 10 | Pineapple Financial | 23.75 Mn | -8.26 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 0.53 |
| Feb 28, 2026 | 0.42 |
| Aug 31, 2025 | 2.95 |
| May 31, 2025 | 0.60 |
| Feb 28, 2025 | 4.85 |
| Nov 30, 2024 | 2.65 |
| Aug 31, 2024 | 5.48 |
| May 31, 2024 | 4.03 |
| Feb 29, 2024 | 3.65 |
| Nov 30, 2023 | 2.90 |
API Access
Pineapple Financial 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=PAPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "PAPL", "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=PAPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();