Pacific Booker Minerals (PBMLF) Receivables (2017 - 2026)
Pacific Booker Minerals (PBMLF) posted Receivables of $3,034 for fiscal Q4 2026 (quarter ended Jan 31, 2026), up 174.8% from $1,104 a year earlier.
Analysis
Pacific Booker Minerals (PBMLF) Receivables (2017 - 2026) Analysis & Trends
Since fiscal Q4 2017, Pacific Booker Minerals has reported Receivables for 10 quarters.
- Annual Receivables shows a five-year compound annual growth rate of 15.6% (FY2021 to FY2026).
- In prior fiscal years, Pacific Booker Minerals' Receivables was $1,104 in FY2025 (-6.5%), $1,181 in FY2024 (-44.0%), $2,108 in FY2023 (-14.0%) and $2,453 in FY2022 (+66.7%).
- The fiscal Q4 2026 figure stands as the highest quarterly Receivables since fiscal Q4 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 4.66 Bn |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn | 2.07 Bn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - | 5.00 Bn |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn | 1.18 Bn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn | 716.00 Mn |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn | 856.00 Mn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn | 4.05 Bn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - | 4.51 Bn |
| 10 | Pacific Booker Minerals | 48.26 Mn | 47.68 Mn | - | 3,120.37 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 3,120.37 |
| Jan 31, 2025 | 1,081.21 |
| Jan 31, 2024 | 1,188.66 |
| Jan 31, 2023 | 2,058.46 |
| Jan 31, 2022 | 2,407.69 |
| Jan 31, 2021 | 1,533.02 |
| Jan 31, 2020 | 1,897.62 |
| Jan 31, 2019 | 1,419.98 |
| Jan 31, 2018 | 4,040.17 |
| Jan 31, 2017 | 3,331.48 |
API Access
Pacific Booker Minerals Receivables 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=receivables&ticker=PBMLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "PBMLF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=receivables&ticker=PBMLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();