Planet Labs PBC (PL) Accumulated Expenses (2021 - 2026)
Planet Labs PBC's Accumulated Expenses came in at $56.08 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 72.9% from $32.44 million a year earlier but down 4.2% from the prior quarter.
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Analysis
Planet Labs PBC (PL) Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Planet Labs PBC's Accumulated Expenses was $55.87 million, up 31.2% from FY2025.
- Accumulated Expenses carries a five-year compound annual growth rate of 13.1% (FY2021 to FY2026).
- Going back by fiscal year, Accumulated Expenses was $42.6 million in FY2025 (-4.9%), $44.78 million in FY2024 (-2.7%), $46.02 million in FY2023 (-5.7%) and $48.82 million in FY2022 (+61.7%).
- The five-year range for quarterly Accumulated Expenses is $3.9 million (fiscal Q3 2022) to $58.54 million (fiscal Q1 2027).
- Year-over-year, Accumulated Expenses has increased for three consecutive quarters, with growth averaging 11.9% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q1 2027 (growth of 103.1%), and the weakest in fiscal Q2 2026 (a decline of 42.9%).
- Business Quant data shows PL's Accumulated Expenses at $58.54 million (Q1 2027), $55.87 million (Q4 2026) and $28.65 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn |
| 10 | Planet Labs PBC | 5.96 Bn | 3.05 Bn | 65.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 56.08 Mn |
| Apr 30, 2026 | 58.54 Mn |
| Jan 31, 2026 | 55.87 Mn |
| Oct 31, 2025 | 28.65 Mn |
| Jul 31, 2025 | 32.44 Mn |
| Apr 30, 2025 | 28.82 Mn |
| Jan 31, 2025 | 42.60 Mn |
| Oct 31, 2024 | 43.67 Mn |
| Jul 31, 2024 | 56.84 Mn |
| Apr 30, 2024 | 43.36 Mn |
| Jan 31, 2024 | 44.78 Mn |
| Oct 31, 2023 | 41.96 Mn |
| Jul 31, 2023 | 37.84 Mn |
| Apr 30, 2023 | 34.43 Mn |
| Jan 31, 2023 | 46.02 Mn |
| Oct 31, 2022 | 42.63 Mn |
| Jul 31, 2022 | 47.82 Mn |
| Apr 30, 2022 | 43.18 Mn |
| Jan 31, 2022 | 48.82 Mn |
| Sep 30, 2021 | 3.90 Mn |
API Access
Planet Labs PBC Accumulated Expenses 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=accumulated-expenses&ticker=PL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "PL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=PL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();