Spire Global (SPIR) Total Non-Current Liabilities (2020 - 2026)
Spire Global (SPIR) recorded Total Non-Current Liabilities of $79.32 million in Q2 2026, down 9.9% from $88.08 million a year earlier.
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Analysis
Spire Global (SPIR) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Spire Global reported Total Non-Current Liabilities of $95.25 million, down 48.4% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 1.4% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $184.68 million in FY2024 (-5.4%), $195.26 million in FY2023 (+20.0%), $162.67 million in FY2022 (+111.6%) and $76.88 million in FY2021 (-13.5%).
- The Q2 2026 figure is the lowest quarterly Total Non-Current Liabilities since Q4 2021.
- On a year-over-year basis, Total Non-Current Liabilities rose in 1 of the last seven quarters, with an average decline of 24.5%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 111.6% in Q4 2022, against a decline of 66.6% in Q1 2022 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 244.52 Bn | 229.59 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 224.53 Bn | 204.94 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Snowflake | 96.11 Bn | 83.43 Bn | 1.04 Bn | 6.45 Bn |
| 4 | Fortinet | 92.17 Bn | 76.43 Bn | 1.64 Bn | 9.56 Bn |
| 5 | Datadog | 63.39 Bn | 43.93 Bn | 959.92 Mn | 3.10 Bn |
| 6 | Zscaler | 33.89 Bn | 20.04 Bn | 689.22 Mn | 5.20 Bn |
| 7 | Axon Enterprise | 33.59 Bn | 28.11 Bn | 546.45 Mn | 3.62 Bn |
| 8 | Okta | 30.27 Bn | 20.37 Bn | 641.00 Mn | 2.11 Bn |
| 9 | MongoDB | 24.64 Bn | 15.11 Bn | 569.77 Mn | 770.18 Mn |
| 10 | Spire Global | 293.34 Mn | -26.32 Mn | 6.16 Mn | 79.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 79.32 Mn |
| Dec 31, 2025 | 95.25 Mn |
| Sep 30, 2025 | 89.39 Mn |
| Jun 30, 2025 | 88.08 Mn |
| Mar 31, 2025 | 194.79 Mn |
| Dec 31, 2024 | 184.68 Mn |
| Sep 30, 2024 | 182.91 Mn |
| Jun 30, 2024 | 178.68 Mn |
| Mar 31, 2024 | 188.93 Mn |
| Dec 31, 2023 | 195.26 Mn |
| Sep 30, 2023 | 201.65 Mn |
| Jun 30, 2023 | 195.65 Mn |
| Mar 31, 2023 | 187.77 Mn |
| Dec 31, 2022 | 162.67 Mn |
| Sep 30, 2022 | 139.26 Mn |
| Jun 30, 2022 | 135.65 Mn |
| Mar 31, 2022 | 89.63 Mn |
| Dec 31, 2021 | 76.88 Mn |
| Sep 30, 2021 | 90.99 Mn |
| Jun 30, 2021 | 280.08 Mn |
API Access
Spire Global Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=SPIR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "SPIR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=SPIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();