First Industrial Realty Trust (FR) Cash & Equivalents (2010 - 2026)
First Industrial Realty Trust (FR) posted Cash & Equivalents of $46.05 million for Q2 2026, up 31.8% from $34.95 million a year earlier and up 24.0% from the prior quarter.
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Analysis
First Industrial Realty Trust (FR) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, First Industrial Realty Trust's Cash & Equivalents came in at $78.03 million, up 75.3% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -13.6% (FY2020 to FY2025).
- In prior years, First Industrial Realty Trust's Cash & Equivalents was $44.51 million in FY2024 (+1.5%), $43.84 million in FY2023 (-67.1%), $133.24 million in FY2022 (+127.4%) and $58.59 million in FY2021 (-63.9%).
- Quarterly Cash & Equivalents has run from a low of $33.51 million in Q3 2025 to a high of $147.26 million in Q3 2022 over five years.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last three quarters, with growth averaging 4.3% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q3 2022, with growth of 181.7%; the weakest was Q3 2021, with a decline of 69.5%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $37.15 million (Q1 2026), $78.03 million (Q4 2025) and $33.51 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 171.10 Bn | 153.62 Bn | 1.39 Bn | 1.97 Bn |
| 2 | Prologis | 117.94 Bn | 117.38 Bn | - | 1.77 Bn |
| 3 | Simon Property | 72.61 Bn | 69.67 Bn | - | 542.96 Mn |
| 4 | Public Storage | 54.41 Bn | 53.50 Bn | - | 259.94 Mn |
| 5 | Realty Income | 53.83 Bn | 54.44 Bn | - | 552.65 Mn |
| 6 | Ventas | 44.52 Bn | 43.72 Bn | - | 198.96 Mn |
| 7 | Extra Space Storage | 30.30 Bn | 30.09 Bn | 642.43 Mn | 695.17 Mn |
| 8 | Vici Properties | 26.15 Bn | 24.27 Bn | 1.05 Bn | 288.06 Mn |
| 9 | Vivmark Residential | 23.62 Bn | 23.59 Bn | - | 36.41 Mn |
| 10 | First Industrial Realty Trust | 7.22 Bn | 7.12 Bn | - | 46.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.05 Mn |
| Mar 31, 2026 | 37.15 Mn |
| Dec 31, 2025 | 78.03 Mn |
| Sep 30, 2025 | 33.51 Mn |
| Jun 30, 2025 | 34.95 Mn |
| Mar 31, 2025 | 35.74 Mn |
| Dec 31, 2024 | 44.51 Mn |
| Sep 30, 2024 | 47.12 Mn |
| Jun 30, 2024 | 38.55 Mn |
| Mar 31, 2024 | 48.88 Mn |
| Dec 31, 2023 | 43.84 Mn |
| Sep 30, 2023 | 54.25 Mn |
| Jun 30, 2023 | 68.10 Mn |
| Mar 31, 2023 | 65.84 Mn |
| Dec 31, 2022 | 133.24 Mn |
| Sep 30, 2022 | 147.26 Mn |
| Jun 30, 2022 | 135.23 Mn |
| Mar 31, 2022 | 44.46 Mn |
| Dec 31, 2021 | 58.59 Mn |
| Sep 30, 2021 | 52.27 Mn |
API Access
First Industrial Realty Trust Cash & Equivalents 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=cash-and-equivalents&ticker=FR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "FR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=FR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();