Pacific Booker Minerals (PBMLF) Receivables - Net (2017 - 2026)
Pacific Booker Minerals' Receivables - Net came in at $3,034 for fiscal Q4 2026 (quarter ended Jan 31, 2026), up 174.8% from $1,104 a year earlier.
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Analysis
Pacific Booker Minerals (PBMLF) Receivables - Net (2017 - 2026) Analysis & Trends
Going back to fiscal Q4 2017, Pacific Booker Minerals' Receivables - Net data covers 10 quarters.
- Receivables - Net carries a five-year compound annual growth rate of 15.6% (FY2021 to FY2026).
- Going back by fiscal year, Receivables - Net 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 represents the highest quarterly Receivables - Net since fiscal Q4 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn |
| 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 |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - |
| 10 | Pacific Booker Minerals | 48.26 Mn | 47.68 Mn | - |
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 - Net 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-net&ticker=PBMLF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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-net&ticker=PBMLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();